Deep Robotics debuts Lite3 quadrobot with greater agility and scalability

Combined with a stronger powertrain, Lite3 boasts a higher degree of dexterity, capable of surmounting taller hurdles and performing stunts like leaping across a gap, jumping up high and doing somersaults.

Deep Robotics (云深处科技), a Hangzhou-headquartered robotic startup focused on quadrobot, yesterday launched its latest model, Jueying Lite3, that possesses greater agility, a longer battery life and open-source APIs for developers.

The company has begun to accept pre-orders via its official website, with formal sale scheduled to start in early June this year.

Lite3 is powered by Deep Robotics’ latest innovations in self-developed joint modules. They generate a 50% increase in torque, resulting in better rotation stability and less energy consumption.

This in turn translates into greater mobility, agility and run time for the quadrobot, according to Deep Robotics.

Four versions at affordable prices

Starting at 16,900 yuan (US$2,453), Lite3 is available in four versions, namely, Lite3, Lite3V, Lite3P and Lite3L.

They come with roughly the same dimensions (length: 610 mm, width: 370 mm), except for slight differences in height.

Lite3 and Lite3L, the trial and Lidar-mounted variants, stand 406 mm and 503 mm tall, compared to the 445 mm standard height of Lite3V and Lite3P.

Their weight also varies, with Lite3 coming in at 12 kg when loaded with battery packs. The other three versions are heavier, at 12.2 kg, 12.7 kg and 13. 7 kg, respectively.

Naturally, the device’s mileage declines with weight, as the top-of-the-line edition (Lite3L) lasts 2.7 km, almost half of Lite3’s 5 km.

The four-legged bionic dog can carry objects weighing up to 7.5 kg while walking, roughly 40% higher than its predecessor.

Meanwhile, it lasts 90-120 minutes on a single charge.

When somersaults are no longer a feat only Spot can pull off

Engineers from Deep Robotics also upgraded its algorithms. Combined with a stronger powertrain, Lite3 boasts a higher degree of dexterity, capable of surmounting taller hurdles and performing stunts like leaping across a gap, jumping up high and doing somersaults.

For instance, it can climb 15 cm-high stairs, which are almost the limit for quadrobots of the same size.

To make it easier to operate Lite3, Deep Robotics introduced an industrial-grade real-time control system, developed based on its rich technological accumulation and prior project experience.

The system enables almost a tripling in computing power. With a 1kHz control frequency, it contains built-in real-time communication technologies and an industrial-grade IMU.

The IMU guarantees tolerance to shock and vibration, thus elevating the quadrobot’s performance.

Lite3 also stands out for its modular design that makes the gizmo compatible with RTK, 5G, AI, edge computing processer and other types of sensors.

This feature allows the quadrobot to become scalable, meaning it is suitable for third-party development via software building tools like SDK and API.

Versatile and scalable

When it is used together with Lidar and depth camera, developers can come up with new features, making the robot more versatile, such as autonomous navigation, self-guided obstacle detection and avoidance, visual positioning and environmental reconstruction, to name but a few.

For lighting, Lite3 uses full-color LED light strips that signal the status of the gadget every step of the way.

Moreover, Deep Robotics also has made changes to speed up image transmission, reduce latencies and improve other aspects of its mobile app user experience.

Its Jueying series has been shipped to more than a dozen countries in North America, Western Europe, the Middle East, and to Japan and South Korea.

Adopted by tertiary education providers like Tsinghua and Peking universities and corporations such as Tencent and Alibaba for research and educational purposes, Jueying is a platform of choice at multiple robotic and AI competitions held nationwide.

It also has proven its potential for wider application, such as in industrial scenarios where it automated routine safety inspection of power stations and cable tunnels.

The robot also can assist with emergency rescue operations, thanks to its ability to navigate burning buildings or complex terrains in disaster-stricken areas.

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Ni Tao

Ni Tao is the founder and editor-in-chief of cnrobopedia. Prior to cnrobopedia, he had a full decade of experience with a major state-run English-language newspaper as a tech reporter and opinion writer. He is also a communications specialist, having provided consultancy services to established firms like Siemens, Philips, ABinBev, Diageo, Group (Nasdaq: TCOM, HK: 9961), Jianpu Technology (NYSE: JT) and a handful of domestic startups. A graduate of Fudan University, he writes widely about China's business and tech scenes and other topics for global publications including South China Morning Post, SupChina, The Diplomat, CGTN, Banking Technology, among others, and tries to impart his experience to students at Fudan University Journalism School, where he is a part-time lecturer. When he's not writing about robotics, you can expect him to be on his beloved Yanagisawa saxophones, trying to play some jazz riffs, often in vain and occasionally against the protests of an angry neighbor. Get in touch with him by dropping a line at

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