Imitation learning algorithm intern

Duties:

2. Responsible for the algorithm development and engineering implementation of the bilateral arm robot imitation learning system, data collection, model training, pipeline optimization, etc.;

3. Continuously track industry dynamics and cutting-edge technology development, and conduct new technology research and application conversion.

Requirements:

1. Computer science, electronic information, robotics and other related majors, master's or doctoral students are preferred, and the internship cycle is at least 3 months;

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.