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Who We Are
To accelerate the AI-Empowered Robot Manipulation System Design Project (REQ0632271), both the Smart Perception and Automatic Control Engineering (SPACE) Lab, which is an advanced robotics project lab, and the Future Production and Testing Hub (FPTH), are initiated with our partners. We focus 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.
