Duties:
2. Responsible for the algorithm development and engineering implementation of the bilateral robot imitation learning system, including data collection, model training, pipeline optimization, etc.
3. Continuously track industry dynamics and cutting-edge technology development, conduct new technology research and application conversion
Requirements:
1. Master's degree or above, majoring in Computer Science, Electronic Information, Robotics, etc.
2. Proficient in Python programming, familiar with PyTorch, TensorFlow, etc. deep learning frameworks
3. Solid foundation in imitation learning or reinforcement learning algorithms, with end-to-end robot system development experience
4. Familiar with Transformer architecture, understand multimodal learning algorithms, those with large model-related experience are preferred.
5. Familiar with the basics of robotics, including kinematics, dynamics, and control algorithms
6. Have any of the following conditions and are given priority:
（1）Familiar with ACT, MT-ACT, RT1/RT2, Diffusion Policy, etc., the latest algorithms
（2） Understand PaLM, RDT, etc., multi-modal embodied large models
（3）Publish papers in top conference journals in the field of robotics/CV/AI
（4）Have actual robot algorithm control project experience or top academic competition winning experience
