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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research focus 1

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.

research focus 2

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. 

research focus 3

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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