About BridgeDP

BridgeDP is a leading general-purpose robot "cerebellum" (motion control) developer, dedicated to solving key technical challenges in motion control for humanoid, quadruped, and wheeled robots, 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, enabling humanoid robots to achieve human-like motions, covering perception planning, legged motion control and more.

Role & Responsibilities

• Situation: BridgeDP provides customized motion control algorithms for multiple robot manufacturers. Robot forms vary (humanoid, bipedal, quadruped), and algorithms need to adapt to different hardware platforms and scenario requirements.
• Task: As Robot Control Engineer, responsible for customized development of motion control algorithms for client humanoid robots, covering the full process from strategy training to real-machine deployment.
• Action: Based on Reinforcement Learning (RL) and Imitation Learning (IL), design and train motion control strategies for specific robot forms and task requirements; deploy from simulation to real robot via Sim2Real transfer; continuously optimize strategy performance to meet client requirements.
• Key Technical Contribution: Implemented a universal solver for robot parallel structure kinematics, enabling position, velocity, and torque conversion between motor space and joint space for all robot parallel structures — supporting seamless bidirectional transformation across diverse robotic mechanisms.
• Result: Details coming soon — actively involved in multiple client projects.