reinforcement learning (RL) including the development of legged locomotion algorithms that internalize safety and are deployable... and robustness. You will develop RL architectures that interface with physics-based models (for dynamic retargeting and reward...
scientists building RL and imitation learning pipelines, provide hands-on technical direction on sim-to-real transfer, foresee... fidelity and physics fidelity - Deep expertise in robotics (controls, motion planning, perception, etc.), ideally both in the...
Reinforcement Learning (RL), sim-to-real transfer, and other learning-based architectures to train policies that produce stable... how RL outputs (e.g., joint targets, contact schedules) interface with optimization-based control layers Formulate reward...
and quantifying safety margins Contribute to the theoretical foundations of CBFs through publications at top-tier controls... by integrating safety with motion planning, RL, and foundation models, ensuring that safety is never a blocker to robot performance...
components, including VLAs, RL-based locomotion and whole-body controllers Design multi-layer CBF based safety filters... and quantifying safety margins Contribute to the theoretical foundations of CBFs through publications at top-tier controls...