Advanced Robotic Platforms from Deep Robotics

DEEP Robotics develops a range of advanced robotic platforms, each designed for specific real-world applications across industrial, public service, and research sectors.

Lite3 is an agile quadruped platform ideal for education, research, and light industrial tasks, offering versatility for developing AI and robotics solutions.
Lite3 supports open source, users can develop advanced perception capabilities such as autonomous navigation, automatic obstacle avoidance, visual localization, environment reconstruction, customizable API for robotics development and AI training

Image credit: Deep Robotics – deeprobotics.cn

X30, a robust quadruped, is tailored for inspection, security, and autonomous navigation in hazardous environments such as industrial sites and power plants.
X30 robot dog conducts autonomous inspection day and night in any weather stably, the operating temperature range of X30 has been extended to between minus 20°C and plus 55°C, the load capacity can be up to 85KG

Image credit: Deep Robotics – deeprobotics.cn

DEEP Robotics Lynx, an off-road wheeled quadruped, is built for outdoor exploration, search-and-rescue missions, providing unmatched mobility on uneven terrain.
DEEP Robotics Lynx all-terrain robot features an agile design and powerful multi-terrain adaptability, combined with a distinctive wheel-legged movement system and AI driven, striking an ideal balance between speed and agility

Image credit: Deep Robotics – deeprobotics.cn

DR01 humanoid robot showcases advanced locomotion for dynamic human-like motion, contributing to research in human-robot interaction and service robotics for task automation.
DR01 humanoid robot boasts highly flexible movement capabilities, adapts to complex environments, and integrates sensing/perception abilities and powerful autonomous learning capabilities

Image credit: Deep Robotics – deeprobotics.cn

Various Challenges for the systems above: Enhancing autonomy, improving power efficiency, and refining adaptability to diverse environments.

Future Goals for the systems:
Integrating AI-driven perception systems for smarter navigation.
Expanding industrial, public safety, and service applications.
Developing robots for seamless, collaborative human-robot interactions with superior performance in real-world scenarios.

Image credit: Deep Robotics – deeprobotics.cn

Videos:
https://www.youtube.com/watch?v=zxGwOEYYFVo
https://www.youtube.com/watch?v=NNkxlKLMoMM&t=19s
https://www.youtube.com/watch?v=iL833P0Vino
https://www.youtube.com/watch?v=lCFyfh3mLOQ

The content and media above is provided to us by Deep Robotics. www.deeprobotics.cn

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