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• Future Games Show will be back at Gamescom this year
• This year's hosts are actors Maggie Robertson and David Hayter
• Tune in live on August 20 for more than 50 trailers and announcements

Future Games Show at Gamescom is returning this year for another showcase packed with game trailers and world premieres.

This year, the show will be hosted by actors Maggie Robertson (Lady Dimitrescu, Resident Evil Village) and David Hayter (Solid Snake, Metal Gear Solid). You'll be able to tune into the show live on August 20 at 1am PDT / 2pm EDT / 7pm BST / 8pm CEST.

Future Games Show will go live at the above times on a variety of social channels, including Twitch, YouTube, X / Twitter, TikTok, as well as with our friends over at GamesRadar.

Viewers can expect announcements and trailers for more than 50 upcoming games, many of which will be world premieres. Developers and publishers featured will include Bandai Namco Entertainment, Capcom, EA, and Nacon. And if there are any games you're looking forward to in particular this year, you just might be in luck, as the show is set to feature some "stealth demo drops."

On returning to the Future Games Show fold, Robertson said: “I’m thrilled to be joining David Hayter to co-host the Future Games Show at Gamescom on August 20! It’s always such a joy to celebrate the creativity and passion behind the games we love and this showcase is packed with exclusive reveals, dev interviews, and all the latest news on gaming. Can’t wait to see you there!”

Hayter added: “Yes! I'll be returning to the Future Games Show at Gamescom on August 20 with Maggie Robertson. I've had a sneak peek and the show is packed with world premieres, new trailers and deep dives into some incredible games. Join us on August 20!”

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If you enjoy diverse content like me, torrenting is an easy way to access it. It involves exchanging files via the BitTorrent protocol and can be done via torrent clients. I’ve embarked on a mission to test many torrenting clients to help users choose the best ones. Today, I’m focusing on qBittorrent, a prominent app in the torrenting community.

qBittorrent is a free and open source torrent client, and compatible with the most popular desktop operating systems. I tested it extensively to provide an honest opinion. Read on to learn about its features, user-friendliness, security, and other vital factors.

qBittorrent: Versions

qBittorrent is compatible with the three most popular PC operating systems; Windows, macOS, and Linux. I use a macOS PC and easily downloaded qBittorrent from the official website. You can also do this for the Windows and Linux versions.

However, I noticed that qBittorrent does not have an Android app. I like torrenting clients with Android apps that let me control my PC’s torrenting activities from a smartphone.

I didn’t expect iOS compatibility, as Apple famously doesn’t allow torrenting apps to appear in its App Store.

(Image credit: Future)qBittorrent: Features

qBittorrent has the typical features of a torrenting app. To download content, I needed to get the .torrent file from an external source. This file contains the metadata of the relevant content to be downloaded, and qBittorrent reads the information to kickstart the download.

If you don’t have the .torrent file, you can provide the magnet link for the relevant content. A magnet link is a hyperlink containing the same metadata as the .torrent file. I pasted multiple links into qBittorrent, and it downloaded the required content without hassle.

I also downloaded content via RSS feeds. This feature lets users subscribe to a specific RSS feed and automatically download new torrents added to the feed. For example, if you subscribe to an RSS feed of your favorite series, you can automatically download all new episodes.

I like that qBittorrent allows plugins that provide extra functionality. My favorite is the search plugin that lets you find torrent files within the app. Instead of spending time discovering and downloading these .torrent files on external websites, I did that directly on qBittorrent, enabling much faster downloads.

There’s no single search plugin for qBittorrent. Instead, the app is compatible with numerous unofficial plugins built for torrenting clients. Installing a search plugin was a noticeably simple process.

(Image credit: Future)

Torrenting works when users exchange files via the BitTorrent communications protocol. When you download specific content on qBittorrent, you automatically become a seeder uploading that content for other users to download. This process of simultaneous downloads and uploads enables users to freely access content via qBittorrent and other torrenting clients.

Whenever I use a torrenting client, I always seek to limit my upload speeds to conserve bandwidth. qBittorrent makes this easy. You can limit the upload speed to any level you’re comfortable with, ensuring you upload files for other users without consuming excessive bandwidth.

I appreciated that qBittorrent gave me significant control over my torrenting activities. For instance, I could queue torrents and prioritize specific downloads over others. I could also select specific files within a torrent instead of downloading the whole package. For example, this feature comes in handy if you have a software package missing a few crucial files. You can download just the missing parts instead of re-downloading the software package and wasting bandwidth.

This torrenting client supports IP filtering for security purposes. Users can upload blocklists and prevent any IP on that list from sharing files with their PC. This feature protects you from interacting with malicious actors sharing malware via torrenting clients.

Before downloading torrents, I always turn on a VPN for further security. A VPN routes your traffic through a secure remote server, preventing your ISP and other third-parties from monitoring your torrenting activities. I advise everyone to always use a VPN when torrenting.

My main complaint is that qBittorrent does not have an Android app that allows me to remotely control my torrenting activities. However, I was pleased that its remote control feature is available via a web interface.

The remote web interface is very similar to qBittorrent’s regular interface. You can use it to control your torrenting activities from another PC or smartphone, e.g., starting and pausing downloads on your home PC while at work. However, setting it up was complex, unlike Android apps where it’s usually straightforward.

qBittorrent: Interface and in-use

qBittorrent has a minimalistic interface that I enjoyed using. It’s not overtly modern yet not outdated. Features are arranged neatly on the left, configurations are accessible at the top, and the main dashboard lies on the right. Each feature incorporates a relevant icon that defines their functions. This uncluttered arrangement makes it easy to find any feature and tweak your desired configurations.

qBittorrent: Security

As mentioned, qBittorrent allowed me to block specific IP addresses from interacting with my device. This security feature is crucial because torrents are a common vector for introducing malware into unsuspecting devices.

qBittorrent has no ads and no history of negligent security practices. It’s a free tool maintained by volunteer developers, so there’s little incentive to sneak in adware for commercial purposes, which a handful of torrenting clients are guilty of.

Despite its standard encryption and other security features, I reiterate my advice to always turn on a VPN before using qBittorrent.

qBittorrent: Final verdict

qBittorrent is a free, user-friendly torrenting client I genuinely enjoy using. It’s not as feature-rich as some clients I’ve tested, but it performs its functions well. It’s an ideal torrenting tool for anyone seeking easy access to digital content.

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Sometimes in software development, things can sit on your to-do list for years – and it’s a technology-based disruption that pushes them to the top of your priorities.

Remember the move to mobile 15 years ago? All of a sudden, people were rushing to address things they should have already thought about in the web app age.

Customer experience, robust testing, programs that are truly fit for purpose and not just functional – the emergence of mobile highlighted many gaps that organizations had to fill. In 2025, AI and low code are the innovations having a profound impact on software development.

And one, perhaps under-acknowledged, consequence is a shift in how organizations approach risk management and regulatory compliance.

The decentralization of development

How enterprises develop and deliver technology – for both internal and external use – is changing. Where once technology development was a process led centrally by IT, today no-code platforms and AI tools are driving a shift to development teams fractalized across the organization.

This is incredibly exciting in many ways, as developers can be more responsive to business needs, collaborating directly with the people most aware of what customers, employees and partners require. But at the same time, it changes the business’ relationship with risk. In the old world, the IT professionals driving development had a holistic perspective of the security concerns, risk profiles and compliance requirements of the organization as a whole.

But now, distributed developers work on smaller pieces of the puzzle, which each present a range of risk management and governance questions. Enterprises are now being faced with managing the risk, as well as embracing the opportunity, of this democratization.

The age of adaptive governance

Risk is a complex question in the time of distributed development. Governance and risk mean different things, depending on where the technology sits in the business. Issues like whether applications are customer-facing, the sensitivity of data and how it’s stored and privacy considerations will each vary from case to case.

Delivering a mobile banking feature could raise all kinds of questions. How and where is customer data stored? Who has access? What will be in the hands of the customers, and what will be in the hands of employees? With so many interconnected issues, it could be easy to miss something crucial from a privacy, security or regulatory perspective.

It’s more important than ever that individual developer teams get to grips with the risk and compliance implications of their activities.

This creates a new role for risk managers and compliance officers. Rather than simply sitting centrally, these specialists need to be embedded in multidisciplinary technology delivery teams across the organization, sometimes referred to as “fusion teams”. There, they act as a front line for risk management, empowering development teams with the right guidance and oversight of their activities.

The smartest organizations are moving to a model of adaptive governance: risk management that’s appropriate for each scenario, and balances innovation with compliance. It’s here that fusion teams will really deliver. With a blend of experts from the business, software developers and UX specialists, teams can better understand the risk and compliance implications of their work – and proactively protect the organization.

The invisible shift

The shift to decentralized technology is nothing new. But low code and AI are catalyzing the parallel shift to a new risk management and compliance model. It may be less visible – but the consequences will be significant.

It’s important that everyone gets to grips with the age of adaptive governance, to ensure that distributed development can deliver on its promise, without compromising the business.

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This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

AI is going through its adolescent phase. It’s strong, ambitious, and capable of remarkable things, but increasingly, it’s hitting some growing pains. Some analysts suggest AI has stalled due to "data scarcity," poor connectivity, or power limitations.

However, the real reason might be simpler: AI, as we know it, lacks the fundamental ability to truly understand us, the user. It can process information at remarkable speeds, create photorealistic images, and draft fluent text, but it struggles with emotional intelligence.

It doesn’t know when a user is frustrated, bored, anxious, or exhausted. It can't sense the moment to pause, clarify, or change course. As AI tools are increasingly deployed in emotionally sensitive domains like education, healthcare, wellness, and media, this emotional blindspot is becoming a significant limitation.

Maybe the next leap in AI won’t come from more data or faster processing, but from teaching AI to notice what humans do when something isn't landing. Emotionally adaptive AI will do more than read prompts; it'll read the room.

By combining facial cues, gaze tracking, behavioral patterns, and physiological signals, the next generation of AI will be able to infer how someone feels and adjust its output accordingly. The result will be an AI that understands when to push and when to back off – when someone is ready to learn, when they’re mentally overloaded, or when they’re just not connecting.

This shift, from reactive logic to emotional awareness, could be what finally takes AI out of adolescence and into maturity.

Faster AI Doesn't Mean Better AI

We’re used to measuring AI in superlatives: bigger models, faster inference, smarter responses. But in the rush to scale up, we’ve overlooked something more fundamental: human context. A model ten times larger won't necessarily give better answers if it can't tell when it has misunderstood the question, or when a user is losing patience and needs an empathetic ear.

Logic-based accuracy doesn’t necessarily equate to usefulness in the moment. When AI is deployed in settings where emotional nuance matters – like classrooms, clinics, and during deep conversations – raw intelligence isn't enough. An algorithm might make fast movie recommendations based on viewing history, but it doesn't know what you're in the mood to watch right now.

These environments don't just rely on information delivery; they rely on timing, tone, and emotional context. In a classroom, the difference between a student thriving and disengaging isn't about how many facts the system can present; it's about knowing when the student is overwhelmed.

In a mental health setting, offering the right coping strategy is fine, but what if the user is too burnt out to hear it? Traditional AI systems weren’t built for this. They optimize for completion, not connection, and that’s where their limitations become apparent.

Humanizing AI

AI's next milestone upgrade won't be faster models or smarter algorithms. It'll be emotional adaptivity and contextual awareness. This means two things for the future of AI. First, AI will be able to read your personal cues in real time, when you choose to allow it.

Much like how Apple Watch users see significant value in heart rate, sleep pattern, or activity levels analysis to provide personalized health insights, human context AI picks up on the silent signals we send all the time: the blink rate that suggests cognitive fatigue, the micro-expression that flashes when confusion sets in, or the subtle eye movement that hints at distraction.

With the right fusion of sensors and models, AI can now combine emotion and mood with biometric signals into a holistic understanding of how you're feeling and why.

Understanding human emotional patterns

Second, and perhaps even more broadly, this understanding of human emotional and behavioral patterns can be anonymously "crowdsourced." This vast dataset will level up large language models (LLMs) like ChatGPT, making them inherently more human-centric in their responses and decisions.

This means AI can deal more effectively with a wider range of situations, even in environments where real-time personal signals aren't being interpreted. It's about building a foundational emotional intelligence into AI, making all interactions more intuitive and responsive to general human needs and states.

In the same way a great teacher slows down when they detect confusion or injects some fun when they see the room glazing over, emotionally adaptive AI can recalibrate on the fly – repeating a step, simplifying a concept, or just pausing to give the user space. It’s a shift from AI that reacts to what we say to AI that responds to how we feel. This opens the door to use cases that conventional AI simply isn’t equipped for.

In healthcare and wellness, it can surface emotional and physiological patterns that can flag burnout, mood disorders, or stroke risk, without relying on bias-prone self-reporting. In gaming, it can power experiences that respond to how players feel, not just what they do, adjusting game difficulty or narrative flow in real-time. What unites these use cases – and countless others – is a shift from one-size-fits-all delivery to emotionally responsive systems that are in tune with humans.

The real breakthrough won't be in how much AI knows; it'll be in how well AI knows us.

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This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

Both countries said they would make the formal announcement at the UN General Assembly in New York in September.

(Image credit: Richard Drew)

Music streaming giant Spotify recently suffered a global outage that disrupted access to its app, website, and services for users around the world.

Although downloaded songs remained playable, the interruption caused significant frustration and interfered with daily routines. The incident also raised concerns about Spotify’s infrastructure reliability, as similar outages have occurred before.

With ongoing competition from Apple Music, Amazon Music, and Tidal, this lack of consistent service may push some users to consider alternative streaming platforms.

However, there are several ways to maintain product stability and to prevent app outages, including proactive strategies such as comprehensive testing, resilient architecture, continuous monitoring, and disaster recovery planning.

1. Frequent audits

Undertaking frequent and consistent audits can pre-empt issues and avoid customer frustration. These audits should not be exempt from the likes of code reviews, security audits and UX/design reviews.

How regular these should be is dependent on the size of your userbase and technology.

2. Proactive testing and quality assurance

When it comes to mobile app development, it’s important first to use automated testing and continuous integration to detect bugs early in the development cycle. In addition, it’s important to perform regular code reviews to catch issues and improve code quality before deployment.

Regression testing also helps when it comes to verifying that new updates do not disrupt existing functionality and introduce new errors.

3. Updating legacy technologies

Legacy technology refers to outdated software, hardware, and business processes that are still in use. These systems are less efficient, harder to maintain and often lack up-to-date security features, leaving them exposed to potential threats. Although they may continue to fulfil their initial purposes, they limit scalability and hinder integration with modern systems.

With this in mind, it’s important to have a sufficient plan for growth in place and update legacy technologies. The benefits of doing this range from reduced operational costs, improved security, and enhanced customer experience, and importantly greater reliability.

4. Invest in comprehensive monitoring

Depending on the size of the business and customer base, 24-hour monitoring is common for most applications with minimal response times needed for business-critical products.

Having a technical team on hand to immediately jump on any issues, no matter how small, ensures there is no escalation or impact on products and end users.

5. Implement infrastructure management and monitoring

Ensuring your application infrastructure is optimized to handle expected loads and potential spikes is also key to avoiding potential outages.

This includes monitoring network connectivity and performance to identify and address potential issues, as well as server performance and health.

6. Offer ease of communication to the user

Offering in-app communication will allow users to receive clear and timely messages regarding outages and their potential impact. It is also important to maintain an up-to-date status page that transparently reflects the current state of the application and any ongoing issues.

Leveraging social media platforms to share real-time updates and engage with users during service disruptions would also be beneficial.

7. Social listening

This is another effective way to monitor any trends with user issues, and can be easily overlooked. Social listening encompasses everything from monitoring social media outlets to app store reviews.

When it comes to App Store community management, having a clear pre-planned strategy to deal with major issues or outages is key to managing user sentiment and maintaining all-important App Store Ratings.

8. Learning and improving processes

Finally, in the event that an outage does occur, it's important to conduct a post-incident review, where incidents can be analyzed to determine root causes and corrective actions can be implemented to prevent future recurrence.

Organizations may also benefit from creating and maintaining a solid contingency plan as a result, with the focus being on communication strategies and fallback solutions to minimize impact.

Frustration for customers and business

Disruptions to mobile app services — whether due to technical glitches, third-party vendor failures, high traffic volumes, or the complexities of legacy IT infrastructure — can cause significant frustration for both customers and businesses. The impact is even greater when paying subscribers experience interruptions to services they rely on.

To minimize these risks, developers and brands invest in robust testing protocols, regularly update and maintain IT systems, plan for scalability, and implement advanced monitoring tools to catch issues before they escalate.

From the customer's perspective, it makes no difference whether a problem originates with your organization or a third-party provider — the responsibility, and any damage to brand trust, falls on you. For businesses like Spotify, this underscores the importance of carefully selecting third-party vendors and conducting regular audits to ensure they meet strict reliability and security standards.

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This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

World Productivity Day should be a moment of reflection and renewed ambition for every business leader in the UK. But this year, the reality is sobering: half of UK businesses are still relying on manual, outdated processes.

A recent 2025 UK Digital Maturity Survey revealed a widening gap between digital ambition and execution. While leaders talk about transformation, their teams are often held back by complexity.

With countless options for new or upgraded systems, admittedly, it can feel confusing and overwhelming. Too many companies are layering on new tools without fixing the underlying infrastructure.

Nowhere is this more obvious that cybersecurity.

Cyber insecurity

Shockingly, over half (56%) of businesses admit that awareness of cyber threats is low, and less than half provide regular training to their employees. In an era of escalating and well documented attacks, this isn’t just risky, it’s irresponsible.

In recent months, several high-profile cyberattacks have paralyzed UK businesses, disrupted public services, and exposed critical data vulnerabilities.

From ransomware targeting hospital systems to breaches in supply chains, the threat is no longer hypothetical - it’s here, and it’s escalating. Attackers aren’t just going after data; they’re going after operational continuity. That means productivity itself is now at risk.

Despite our collective awareness that digital transformation drives growth, too many organizations remain stuck with legacy systems, weak integration, and critically, poor cybersecurity. Secure IT infrastructure isn’t a ‘nice-to-have’; it’s a baseline requirement for productivity and growth.

Resilience in today’s economy means being ready for disruption, and digital resilience starts with cyber readiness. Businesses can no longer afford to treat this as an afterthought. Cybersecurity needs to be embedded into strategy, work culture, and day-to-day operations. Anything less can welcome risks.

The power of data

Then there’s data.

The latest research shows that under a third (only 29%) of organizations say they’re using data to drive strategic decisions. Without the ability to harness insights in real time, decision-making becomes slower, less confident, and ultimately, less effective.

For companies trying to adapt to hybrid work, respond to customer expectations, or navigate economic uncertainty, that’s a major handicap.

In an environment where speed and agility often determine success, relying solely on gut feeling or reports is no longer sufficient. The ability to make real-time, data-informed decisions isn’t a luxury. It’s essential for staying ahead.

Yet, many organizations are sitting on a copious amount of unused data, either because it’s siloed, poorly integrated, or not trusted by decision-makers. Turning that data into a usable asset requires the right tools, yes, but also the right mindset and leadership commitment.

Data maturity can’t be separated from productivity. The more confidently and effectively an organization can use its data, the faster it can act, the smarter it can operate, and the more value it can deliver.

So where do we go from here?

A shift in organizational mindset

For me, in today’s economy, productivity is no longer just a function of efficiency; it’s a function of trust. Employees need to trust the tools they use, the systems that support them, and the data that guides their decisions.

The apparent lack of awareness around data-driven decision-making and security threats points to strategic vulnerabilities. Without secure, integrated digital infrastructure, organizations will struggle to adapt, scale, or compete.

The most forward-looking leaders recognize that digital maturity is now a boardroom issue, not just a technology one. It requires an organizational mindset shift to embed security, insights and agility into the way business gets done.

Inaction is no longer a neutral position; it’s a risk to growth, resilience and reputation. And this isn’t only about catching up. It’s about preparing for what’s next.

With AI becoming more integrated into business models, the risks and opportunities tied to digital maturity will only accelerate. Leaders must start future-proofing now. Closing the gap between ambition and execution starts with leadership willing to make digital capability a strategic imperative.

That means taking a clear-eyed view of the current state, identifying where the obstacles are, and investing in the processes and work culture that support transformation - not just the technology itself.

Call to action

World Productivity Day is a call to action for UK businesses to commit to digital maturity and redress the imbalance between ambition and execution.

Technology offers extraordinary potential, but the true differentiator is how seamlessly it’s woven into the fabric of everyday work. The gap between vision and reality isn’t just a matter of tools, it’s about aligning people, process and ultimately workplace experience.

This starts with listening to employees, to consumers, to data. It continues with investing in change management, training, and upskilling. And it culminates in creating a workplace that feels not just more productive, but more purposeful.

Let World Productivity Day be more than a moment. Make it a turning point. A turning point where productivity is refined, not just in output, but in how confidently, securely, and intelligently we work.

Because in today’s world, adopting technology isn’t just a strategy. It’s how we evolve.

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This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

Brown University will pay $50 million to Rhode Island workforce development organizations in a deal with the Trump administration that restores lost federal research funding, officials said Wednesday.

(Image credit: Steven Senne)

Anthbot Genie: two-minute review

Like the very best in the latest tranche of self-guided robot lawn mowers, the Anthbot Genie requires no perimeter wires and no professionals to install it. Simply take it out of its box, set up its charging station and RTK receiver in a suitable spot and set it off on its way.

There are three versions to choose from, with different battery capacities making them suited to different lawn size. The Genie 600 is designed for lawns up to 0.22 acres / 900m², the Genie 1000 is for up to 0.49 acres / 2000m² and the Genie 3000 is for up to 0.89 acres / 3600m². For this review, I tested the 3000.

Although the Genie's 7.9 inch / 20cm cutting width isn't the widest on the market – that accolade goes to the five-star Mammotion LUBA 2 – what it lacks in size it makes up for in accuracy. Thanks to RTK-GPS and its AI-empowered 3D four-camera recognition technology, the Genie cuts in straight lines and navigates neatly around edges without the typical zig-zag chaos of older robot mowers. It's a sterling obstacle avoider, too.

However, its success may depend on the RTK receiver having a good line of sight to a range of satellites in the sky, and to that end it's a bit of a shame that a wall-mounting kit (to place the receiver above the tree-line) is an added extra rather than being included as standard. That said, positioning mine in the lawn next to the charge station – the only setup possible with the included equipment – worked just fine to me, even with a fair amount of tree coverage.

Like the vast majority of robot mowers, the Genie doesn't have a grass collector. Instead, its five-blade cutting disk snips off millimeters at a time, leaving the nitrogen-rich cuttings to fertilize the lawn. Its motorized cutting deck is easily adjustable in the app and lets you fine-tune your grass from a crisp trim to a lush, longer look.

If you're in the market for an easy-to-use robot that's reliable and easy to operate, you've found it. Read on for my full Anthbot Genie robot lawn mower review.

(Image credit: Future)Anthbot Genie review: price & availability

• List price: $999 to $1,359 / £999 to £1,699
• Launch date: Spring 2025
• Available: US and UK

The Anthbot Genie went on sale in Spring 2025, following a successful Kickstarter crowdfunding campaign. They're available to buy direct from Anthbot and Amazon in the US and the UK, and at list price they cost $999 / £999 for the Genie 600, $1,199 / £1,299 for the Genie 1000 and $1,599 / £1,699 for the Genie 3000.

Given that wire-free yard robotics is a relatively new thing, right now you can expect to pay big money for the privilege of never having to mow the lawn again. However, prices have already started to tumble and this will likely continue as more competition enters the market. In fact, at time of writing, all sizes of the Genie were heavily discounted in both the US and the UK. In the pantheon of robot lawn mowers, the Anthbot Genie's price structure can be considered quite reasonable given the huge amount of sci-fi tech involved.

• Value for money score: 4 out of 5

Anthbot Genie specs

Max lawn size:

0.22 acres / 900m², 0.49 acres / 2,000m², 0.89 acres / 3,600m²

Cutting deck width:

7.9 in / 20cm

Cutting height adjustment:

1.18 - 2.8 in/ 30-70mm, motorized

Bot dimensions:

24.8 x 16.1 x 10.6in / 63 x 41 x 27cm

Navigation:

RTK GPS + 4-camera 3D Vision

Climbing ability:

45% (24°)

Drivetrain:

Rear wheel drive

Waterproof:

IPX6

Rain sensor:

Yes

Noise:

58dB

Connectivity:

Wi-Fi (2.4G), 4G, Bluetooth

Obstacle avoidance:

3D Vision (4 Cameras) + All-round Physical Obstacle Avoidance

Maximum zones:

20 - 30

Anthbot Genie review: design

• 3 variants with different batteries for different lawn sizes
• Navigates using RTK GPS and AI powered cameras
• Wall mounting kit for RTK station is sold separately

Funny how the world of technology works. It takes just one company to create a new type of innovative product and within a year everyone's at it. Just look at robot vacuum cleaners. Once there was iRobot, then the likes of Roborock followed suit and, before we knew it, we were being bombarded with hundreds of robot vacs from companies we'd never heard of. Well the same thing is happening in the world of robot lawn mowers.

Although robot mowers have been out since the 1990s, I've never had the desire to review one because they've all required getting down on hands and knees and fixing, or burying, a ridiculously long boundary cable around the entire perimeter of the lawn and every outdoor ornament and piece of furniture. But that's all changed with the recent advent of RTK GPS-, camera-, and LiDAR-guided lawnbots that not only navigate a lawn – and any obstacles – with gobsmacking precision but cut grass in beautifully straight lines that make any lawn look immaculately snazzy.

(Image credit: Future)

Anthbot is one of those young upstarts and I've got to say that its design team has done its homework and designed one of the very best lawnbots I've so far tested – and a great looker to boot. In fact, it's getting rather difficult to write these reviews because every robotic lawn mower I receive to test seems to be a bit better than the last, and there are only so many stars one can give as commendation.

The Anthbot Genie is the latest addition to the fast-evolving world of smart robotic lawn mowers, and it brings some serious tech to the yard. This model is available in three battery capacities, which equate to the amount of lawn space they can realistically handle without having to return to recharge too often.

(Image credit: Future)

If you have a small urban-sized lawn, opt for the Genie 600 which has a reach of 0.22 acres / 900m² . If your lawn's a lot larger or you want the robot to cut an entire space without heading back to base for a recharge (remember, fewer recharge cycles equals a longer battery life) then opt for either the Genie 1000 which is suitable for lawns up to 0.49 acres / 2,000m² or the Genie 3000 which is capable of trimming a whopping 0.89 acres / 3,600m². All three variants are exactly the same size and have the same features, except the 3000 model can cut up to 30 different lawn zones while the other two can manage 20.

Unlike traditional robot mowers that rely on cumbersome boundary wires, the Genie uses advanced RTK-GPS combined with an AI-empowered navigation system comprising four cameras (including one on each side) that are said to provide '300-degree human-like vision and 360-degree collision sensing'. I believe it having seen it in operation.

(Image credit: Future)

RTK-GPS uses an RTK receiver to correct satellite signals, making them accurate to within a few centimeters. The system requires the bot and the receiver to have direct line of sight to a large proportion of the sky. The idea is that if the GPS signal is weak or lost due to overhead obstructions, the lawn bot will switch over to camera-based navigation.

I should add that RTK-GPS, which is accurate to just a few centimetres, isn't suitable for every home layout because the package requires having an aerial spiked into the lawn within a foot of the charging station and with a clear line of sight to as many satellites as possible. My own lawn is surrounded by very tall trees and the RTK stations of every lawnbot I've so far tested have all been positioned to the side of two 80-foot beech trees.

In theory my yard should be the worst case scenario but, against all odds, I'm receiving signals from between 12 and 25 satellites at any given time – and with just 50 per cent or so of visible sky. So don't write off this model or any other without taking a good look at the sky around your home.

(Image credit: Future)

If your land space looks unsuitable, Anthbot sells a wall-mounting kit that enables you to attach the RTK receiver to a structure up high (so there's wider direct line of sight to satellites in the sky), and plug it into a separate power source to the charge station. Some other lawnbots, include wall-mounting kit with the initial bundle, but here it's an additional purchase.

When it comes to obstacle avoidance, this model features three levels of sensitivity (low, medium and high) and it's worth playing around with the settings to find the best solution for your lawn. I've been very impressed with the Genie's obstacle avoidance and you can read more about it in the Performance chapter below.

(Image credit: Future)

Right, let's get down to the stats. The Genie's 7.9 inch / 20cm cutting width may sound modest, but it's more than capable of maintaining a consistently neat finish on the lawn sizes it was designed for. Like all robot mowers, the Genie uses a spinning horizontal disc with razor blades attached to the outer edge. Some models like the Eufy E15 have just three blades, but this one has five.

The Genie's motorized cutting height is fully adjustable between 1.2-2.8 inches in 0.2in increments (30-70mm in 5mm increments), allowing you to switch between a close-cropped summer lawn or a longer, lusher look in the cooler months. However, you won't see the 0.2in / 5mm increments on the app unless you tap on the dividing lines between each main measurement. Please fix this Anthbot.

Like 99 per cent of robot mowers, the Genie is a mulching model, so it finely chops grass into tiny nitrogen-rich clippings that naturally fertilize your lawn. That means no messy grass collectors and no piles of cuttings to dispose of. If the mower is set to perform two to three cuts a week, it will simply snip off a few days' worth growth and therefore not litter the lawn in cuttings.

All robot mowers are whisper-quiet when working; so quiet that you can hardly hear them from just a few meters away. This model's drive motor is a fraction louder than other lawnbots I've tested (around 58dB), but it's hardly audible when you're more than 8 meters away.

I sadly wasn't able to test the Genie's multi-zone function since I only have one lawn, but from what I've seen online, it behaves in the same way as other robot mowers and involves steering the robot like an RC car using the Bluetooth connection from one zone to another. As long as the path between the two zones is free of clutter – and especially gates and steps – the Genie will follow the same path every time it's out on a cutting spree. Impressively, this mower provides the option to create between 20 and 30 zones depending on the variant you've chosen.

(Image credit: Future)

If there are permanent obstacles within the lawn (beds, for example), you can create no-go zones so the mower doesn't try to cut them. As a step up from some competitor models, you can create these in-app with a few taps, just as you would with a robot vacuum cleaner. I should add that the Genie's navigation system will cover the vast majority of obstacle avoidance but it's good to have the no-go option for those who wish to make doubly sure that the robot will always avoid pitfalls like drop offs and ponds.

Like all robot mowers and vacs, the Genie can be easily programmed to run a regular schedule so the grass is always kept in tip-top condition. However, the Anthbot Genie app also features a Smart Lawn Care function, which automatically selects the best mowing strategy based on growth of the grass. I wasn't able to try out this function properly because my test period coincided with an ongoing drought that has prevented most UK grass from growing.

I did select the option but found it very confusing because it leapt straight into a schedule and the whole point of the function is that it chooses when to mow. If it's like Worx's Landroid Vision system, it should require input of grass type and then check local weather to create an automatic schedule.

Perhaps this feature will be improved going forward but for now I would suggest ignoring it and stick to your own schedules. Incidentally, like every other bot on the market, a rain sensor on top of the body automatically pauses mowing during wet weather and you can change the delayed mowing time from between one hour and eight hours.

(Image credit: Future)

Most mowers are capable of climbing inclines of 30% to 40% but this rear-wheel-drive model goes 5% more, meaning it's suitable for a slightly wider variety of landscapes. The two large and chubby front caster wheels help in this regard, but it's the oversized and heavy treaded rear wheels that provide all the traction. Nevertheless, there will be some lawns that are still too steep for this mower to handle. If that's your lawn, consider the all-wheel-drive Mammotion LUBA 2 or LUBA Mini which both boast amazing 80% incline ability.

Like most modern wireless robot mowers, the Genie is initially bound to one's WiFi and Anthbot account so any light-fingered thieves will basically have a brick on their hands. To further enhance security, a four-digit code is also required and if the robot is moved beyond its preset boundary, an alarm sounds on the robot and the user receives an emergency alert. Top marks in this respect.

According to the US and UK websites, Anthbot already has an after sales repair service in place in many territories – including the UK and US – with a 10 day turnaround in most cases. In fact, I've been very impressed by Anthbot's activity on Facebook in seeking feedback from current users regarding any improvements the company can make going forward.

Setup

The Genie arrived in a large box containing the mowing unit, a charging base, ample electrical cabling for an outdoor mains output and the RTK GPS antennae. I selected a space next to my Mammotion LUBA 2 and placed the antennae beside the charging station. This area is right beneath two 80-foot beech behemoths, a large horse chestnut and a small damson tree but, against all odds, every RTK system I've used has worked.

This one worked too, though it took a few minutes for the RTK receiver to log on to the prerequisite number of satellites. I'm actually amazed that these RTK-based lawnbots work at all on my lawn given the amount of trees surrounding it, and that just goes to show that there are a lot more satellites up there than you might think.

(Image credit: Future)

After turning it on and hearing the musical fanfare, you'll be asked to select the default pin code (0000). Even though the machine is also bonded to the owner's Wi-Fi and email address, this code is an extra line of defence against theft of the machine and should be changed to a personal code using the keypad on the unit or, better still, via the app. Just make sure to make a note of your own pin code because the product is a brick without it, and the only way to fix it is by contacting the manufacturer with proof of purchase.

All robots need to map the space they'll be working in; in this model's case, the Genie uses its RTK GPS and multi-camera system. Anthbot provides two methods for mapping a lawn: auto or manual. In auto the robot analyses the lawn's borders automatically, while manual involves driving the bot around the perimeter like an RC car.

I initially chose auto and the Genie mapped the lawn quickly without any messing about. It simply went to the nearest edge and mapped the entire lawn in about five minutes. That's a record! However, I've since discovered an excellent feature in the app that lets you manually expand the map by driving the robot even closer to the perimeter. Nice one Anthbot.

(Image credit: Future)

At this juncture I wish to give a shout out to the tailored Rain Cover for the Genie because it not only keeps the robot dry (even though its IPX6 waterproof) but, perhaps more importantly, it blocks out hot summer sun which could feasibly mess around with the bot's battery and electronics. The Anthbot garage is an impressive piece of kit in its own right since the main body is cast from solid steel and is so robust that I sense it would stand up to a tornado, let alone a gale.

Once the Anthbot Genie is all set up and ready to roll, it's simply a case of going into the app and setting a two- or three-day schedule, your preferred cutting height and obstacle sensitivity, and whether you want the robot to mow in vertical or horizontal stripes. And that's it. You can now retreat, safe in the knowledge that your lawn will always look neat and tidy, even when you're away on holiday.

• Design score: 4.5 out of 5

Anthbot Genie review: performance

• Impressive cutting performance
• Superb navigation system
• On-par obstacle avoidance

Every perimeter wire-free robot mower I've reviewed to date has performed surprisingly well, at least given the relative newness of this particular field of robotics. The Genie's 7.9 inch / 20cm cutting width may seem compact compared to the 15.7 inch / 40cm Mammotion NUBA 2, but I've been impressed by the precision of its cut – its five-blade disc spins at around 3,000rpm, slicing through grass stems like a pair of sharp scissors, leaving only the tiniest of mulched clippings in its wake. If programmed to perform regular cutting sessions during the main season, the nitrogen-rich clippings will soon disappear back into the lawn where they'll act as natural fertilizer.

Whether you set it to 1.2in / 30mm for a UK-style summer trim or 2.8in / 70mm for a longer cut that's more suited to US grass varieties, the Genie should maintain a consistent finish across varied lawn surfaces. The Genie's simple, replaceable blade system certainly handled my lawn's thick early summer growth with ease, leaving no clumps or uneven patches. However, it sadly hasn't seen much use during the past two weeks because the UK has been experiencing a series of heatwaves and all lawns in the southern region have shut down to some extent.

(Image credit: Future)

I've been especially impressed by the Genie's navigation system, which has never faulted in four weeks of using it. My base station is set to one side of my 170 square metre lawn with a gap of around 15 meters / 49ft to the side border and when the Genie leaves its station, it starts mowing in a straight vertical line from that point, missing the 1.5 metres of lawn width to its left and continuing to cut the largest section of lawn to its right.

It then moves to the left side of its first path to complete the rest of the lawn before moving to the edges, which it cuts remarkably well. I should add that its border cutting improved tenfold since I engaged the new 'edge-cutting' option and manually expanded the map by driving the robot closer to the border.

(Image credit: Future)

Granted, the Genie employs an unusual cutting pattern when compared to other lawnbots I've tested but, hey, it has always finished the task in about an hour so I have nothing to grumble about in this regard. All I know is that it creates lovely stripes in its wake. Yes, I still prefer the much wider tract of the Mammotion LUBA 2 but I'm getting more and more used to the narrower stripes that the majority of current bots create.

I've also been impressed by the Genie's better-than-average obstacle avoidance. I tested it using a variety of objects – from dog toys and tennis balls to a chewed-up plastic plant pot – and it avoided all of them with deft precision (the two extra side-mounted cameras most definitely helped in this area). In fact I was so impressed I decided to bring out the ping-pong ball that no robot mower has so far avoided. Unfortunately, this was too small an item even for the Genie, which makes me think that manufacturers adjust their respective robots to ignore the smallest of objects on purpose lest they mistake scattered leaves for obstacles and avoid them entirely.

(Image credit: Future)

I should add that my test lawn is perfect for any robot since it's rectangular shaped and with no inclines and no major obstacles in the way. Nevertheless, I have watched a few videos by other users with more challenging terrain and they've also been impressed with the Genie's performance.

One thing I have noticed is that the Genie 3000 I was sent to review has been able to cut my entire lawn and the edges with 72 per cent of battery remaining. Yes, this model is overkill for my lawn size but it just goes to show how energy-efficient the model's battery and motors are. If you can afford it, perhaps opt for a larger model than you need so you can cut down on battery charging cycles and have the available juice to cut extra lawn zones in the future.

• Performance score: 5 out of 5

Anthbot Genie review: app

• Easy to use
• Receives quite regular updates
• Some room for improvement

The Anthbot app is mostly excellent. This easy-to-use app allows the user to set cutting heights and angle of cut, create up to 30 mowing zones, programme different schedules for each and define no-go areas with a swipe of the finger. The app also includes real-time monitoring so you can check the mower's location, battery level and progress at any time, even if you're away from home.

(Image credit: Anthbot)

My test model recently received a comprehensive update with additions to cut horizontally, edit the lawn's boundary and choose from three levels of obstacle avoidance. However, I would love to see Anthbot improve its cutting angle feature so that it behaves more like Eufy's E15 model, which provides an animated map with an adjustable arrow that swivels the entire map of the lawn on its axis so you can easily view the direction in which the robot will cut.

Given that Anthbot's reps are very responsive and eager to address current users' suggestions, you can be sure there'll be more tantalising updates along the way.

• App score: 4 out of 5

Should you buy the Anthbot Genie lawnbot?

Attribute

Notes

Rating

Value

In the arena of smart lawnbots, the Genie is very competitively priced. Deals are already easy to come by.

4/5

Design

Navigates using RTK GPS and 4 cameras on front and sides. Available in 3 battery capacities for different-sized lawns.

4.5/5

Performance

Exceptional performance with neat mowing, very accurate navigation and commendable obstacle avoidance.

5/5

App

Despite a few required tweaks, the Anthbot app is easy to use and pretty comprehensive.

4/5

Buy it if...

You want an easy time

This model is a breeze to use, with no major foibles to report.

You want lawn stripes

The Genie cuts in uniform parallel stripes.

You value reliable obstacle avoidance

With three levels of avoidance, this bot is a top dodger.

Don't buy it if...

Your lawn looks like the foothills of the Himalayas

With a 45% maximum gradient, this bot isn't suitable for very steep inclines.

You have lots of overhead obstacles

The Genie uses an RTK GPS navigation system, which relies on a decently clear view of the sky to allow it to talk to the satellites.

How I tested the Anthbot Genie

TechRadar employs a strict routine when testing equipment. Firstly I live with the robot for a week or two, letting it do its thing while observing its behavior. Then I get down to enacting some real-world scenarios like obstacle avoidance and introducing it to various types of borders to see how well it behaves. Robots can be very unpredictable so these tests can take a few hours to complete with lots of written observations. Once I'm satisfied that there aren't any major concerns, I'll start writing the review while very carefully considering the amount of stars each area of the product deserves.

Read more about how we test

• First reviewed July 2025