Tasks:
- * Build generalizable robot skills across tasks and scenarios
- * Collaborate on embodied AI datasets and robot platform deployment
- * Design, train, and deploy imitation learning and reinforcement learning algorithms
- * Develop embodied AI algorithms for skill learning, motion planning, and grasping
- * Reproduce and advance research; contribute to papers and patents
Perks/Benefits:
Skills/Tech stack required:
[ACT] [AgiBot GO1] [C++] [Chain-of-Thought] [Chain-of-Thought prompting] [Diffusion Policy] [Git] [GROOT] [Helix] [Imitation Learning] [Knowledge Distillation] [Motion Planning] [Multimodal Learning] [Pi0] [Python] [PyTorch] [RDT] [Reinforcement Learning] [Robot Manipulation] [Self-supervised] [Self-Supervised Learning] [Supervised Learning] [TensorFlow] [Transfer Learning] [VLA] [VLM]
Educational requirements:
[Master's Degree]
Role(s):
[AI Algorithm Engineer] [Algorithm Engineer] [Embodied AI Algorithm Engineer] [Engineer] [Robotics Algorithm Engineer]