BridgeDP Robotics Co., Ltd.
About BridgeDP
BridgeDP is a leading developer of the general-purpose robot "cerebellum" (motion control), dedicated to solving key technical challenges in behavior and motion control for humanoid, quadruped, and wheeled robots, while providing precise, flexible, and efficient motion control solutions for clients.
Core product: BridgeDP Engine, based on high-precision motion capture data and reinforcement learning algorithms, enables humanoid robots to perform human-like motions across core scenarios such as perception planning and legged motion control.
Role & Responsibilities
- Situation: BridgeDP provides customized motion control algorithms for multiple robot manufacturers. Client robots vary in form, including humanoid, bipedal, and quadruped platforms, and the algorithms must adapt to different hardware platforms and scenario requirements.
- Task: As a Robot Control Engineer, responsible for customized development of motion control algorithms for client humanoid robots, covering the full process from policy training to real-world deployment.
- Action: Combine Reinforcement Learning (RL) and Imitation Learning (IL) to design and train motion control policies for specific robot forms and task requirements; deploy simulation policies to real robots through Sim2Real transfer; continuously optimize policy performance to satisfy client scenario requirements; refactor the deployment code workflow to significantly improve development efficiency, reducing single deployment code development time from about one day to 1 to 2 hours.
- Key Technical Contribution: Implemented a universal solver for robot parallel structures, enabling bidirectional conversion of position, velocity, and torque between motor space and joint space across all supported parallel mechanisms.
- Result: Details coming soon, currently contributing to multiple client projects.