Who We Are
To accelerate the AI-Empowered Robot Manipulation System Design Project (REQ0632271), both the smart perception and automatic control engineering lab and the future production and testing hub are launched. The team focuses on the R&D for real-world demand scenarios such as humanoid robotics platform, intelligent 3D perception, digital twins and related applications.
Reserach Focus
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Natural Language Processing for Control Order Interpretation
This task involves developing a natural language processing (NLP) model to interpret user commands given via text or voice.
Multimodal Environment Detection and 3D Environment Construction
This task focuses on building a comprehensive 3D representation of the robot’s environment by integrating data from multiple sensors, such as cameras, lidar, and depth sensors.
Forward-kinematics-aware Reinforcement Learning for Control Optimization
Control optimization focuses on designing a reinforcement learning algorithm that can harness the calculation of forward kinematics for complex action manipulation optimization.
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