Robotics Control Engineer - Reinforcement Learning
City of London, London, United Kingdom
Humanoid
based control policies for locomotion tasks, including walking, balancing while manipulating, squatting, stair climbing, fall recovery, and other dynamic maneuvers. Model and simulate complex dynamics, taking into account robot kinematics, actuator limitations, and environmental interactions to optimize performance. Conduct rigorous testing in both simulated and real-world environments to validate algorithms and ensure robustness across various conditions. Collaborate closely with More ❯
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