Job description
1. Develop and optimize robot skill learning algorithms and models, including reinforcement learning, imitation learning and related deep learning models.
2. Conduct experimental verification of algorithms and models, and continuously improve the performance of algorithms and models.
3. Work with the data acquisition team to build and maintain training datasets. Work with the robotics planning team to achieve practical deployment and reliable application of skills in performing complex tasks.
Qualification:
1, master degree or above, computer, artificial intelligence, automation, electronic engineering and other related majors preferred.
2, familiar with reinforcement learning and imitation learning algorithms, with relevant project experience.
3, with excellent programming skills, familiar with Python, C++ and other programming languages and PyTorch and other deep learning frameworks.
4. Experience in publishing papers in top conferences and journals in related fields (such as NeurIPS, ICML, ICLR, RSS, CoRL, ICRA, IROS, TRO, IJRR, RA-L) or other equivalent level or above.
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