Robotics Researcher, Manipulation

The role focuses on developing and deploying manipulation policies for a humanoid robot platform, including grasp planning, contact-rich control, and learning-based task policies. The researcher will work across model-based control, imitation learning, and reinforcement learning, ensuring solutions operate on real hardware and integrate with perception and autonomy systems.