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...
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...
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...
with perception, planning, and controls teams to close the loop from object detection through grasp execution, and you will deploy... grasps, unexpected contacts) in real time Develop learning-based manipulation policies using RL, imitation learning...