机器人学习与Manipulation研发科学家_CR
Core
Develop end-to-end visuomotor policies for humanoid and general-purpose robots, enabling learning from perception to action.
Role type
Senior Research Scientist (Robot Learning & Manipulation)
Builds
Robotic manipulation capabilities including grasping, object reorientation, door opening, dual-arm operation, and basic assembly.
Domain
Robotics, Embodied AI, Machine Learning
Deliverable
Production ML models | product features
Required skills
Behavior Cloning, Reinforcement Learning, VLA, Policy Learning, Python, C++, PyTorch, Robot Control, Simulation (Isaac Sim, MuJoCo, NVIDIA Omniverse), Data Collection & Dataset Construction
Preferred skills
Humanoid robot experience, High-dexterity robot experience, Publications in Robot Learning/Manipulation/Embodied AI, Research project leadership
Technologies
Isaac Sim, MuJoCo, NVIDIA Omniverse, PyTorch
Responsibilities
Design and deploy learning-based visuomotor policies; Build and optimize datasets from real robots; Collaborate with perception, planning, and control teams; Iterate systems based on real-world performance analysis.
Seniority
Senior, hands-on IC
