Develop and implement advanced control algorithms for bipedal locomotion and manipulation.
Train Reinforcement Learning (RL) policies in simulation and deploy them on hardware.
Conduct sim-to-real transfer and analyze gait/kinematics telemetry.

🎯 Requirements

Strong background in MPC and Whole-Body Control.
Extensive experience with robotic simulation (NVIDIA Isaac Sim, MuJoCo).
Familiarity with modern RL frameworks.

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