Shanghai Qi Zhi Institute PI, Assistant Professor at IIIS, Tsinghua.
Jianyu Chen obtained his bachelor's degree from Tsinghua University and his doctor's degree from the University of California, Berkeley, under the supervision of Professor Masayoshi Tomizuka. He is working in the cross fields of robotics, reinforcement learning, control and autonomous driving. His research goal is to build advanced robotic systems with high performance and high intelligence. He has published more than 40 papers in flagship international conferences and journals in the fields of robotics and artificial intelligence, and some of the papers have been selected as best paper finalists for L4DC 2022, IEEE IV 2021 and IFAC MECC 2021.
Personal honor:
2021 Forbes China 30 under 30 (Science List)
Humanoid Robot
Building the hardware and motion control systems for humanoid general intelligent robot.
Embodied AGI
Building a general AI agent with hands and legs, capable of listening and speaking, and capable of being loaded on an entity robot to interact with the real physical world.
16. Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen, Decentralized Motor Skill Learning for Complex Robotic Systems, IEEE Robotics and Automation Letters (RA-L), 2023 查看PDF
15. Yujie Yang, Yuxuan Jiang, Jianyu Chen, Shengbo Eben Li, Ziqing Gu, Yuming Yin, Qian Zhang, Kai Yu, Belief State Actor-Critic Algorithm from Separation Principle for POMDP, American Control Conference (ACC), 2023 查看PDF
14. Yujie Yang, Yuxuan Jiang, Yichen Liu, Jianyu Chen, Shengbo Eben Li, Model-Free Safe Reinforcement Learning Through, IEEE Robotics and Automation Letters (RA-L), 2023 查看PDF
13. Hai Zhong, Yutaka Shimizu, Jianyu Chen, Chance-Constrained Iterative Linear-Quadratic Stochastic Games, IEEE Robotics and Automation Letters (RA-L), 2022 查看PDF
12. Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen, Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward, International Conference on Robots Learning (CORL), 2022 查看PDF
11. Zheyuan Jiang, Jingyue Gao, Jianyu Chen, Unsupervised Skill Discovery via Recurrent Skill Training, Conference on Neural Information Processing Systems (NeurIPS), 2022 查看PDF
10. Xiang Zhu, Shucheng Kang, Jianyu Chen, A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation, International Conference on Intelligent Robots and Systems (IROS), 2022 查看PDF
9. Xiaoyu Chen, Yao Mark Mu, Ping Luo, Shengbo Eben Li, Jianyu Chen, Flow-based Recurrent Belief State Learning for POMDPs, International Conference on Machine Learning (ICML), 2022 查看PDF
8. Dongjie Yu, Haitong Ma, Shengbo Eben Li, Jianyu Chen, Reachability Constrained Reinforcement Learning, International Conference on Machine Learning (ICML), 2022 查看PDF
7. Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen, Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning, Conference on Learning for Dynamics and Control (L4DC), 2022 查看PDF
6. Yuheng Lei, Jianyu Chen, Shengbo Eben Li, Sifa Zheng, Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning, IEEE Conference on Decision and Control (CDC), 2022 查看PDF
5. Yujie Yang, Jianyu Chen, Shengbo Li, Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study, Conference on Learning for Dynamics and Control (L4DC), 2022 查看PDF
4. Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun, Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 查看PDF
3. Haitong Ma, Jianyu Chen,Shengbo Eben, Ziyu Lin,Yang Guan, Yangang Ren, Sifa Zheng, Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function, International Conference on Intelligent Robots and Systems (IROS), 2021 查看PDF
2. Jianyu Chen, Yutaka Shimizu, Liting Sun, Masayoshi Tomizuka, Wei Zhan, Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning, International Conference on Intelligent Robots and Systems (IROS), 2021 查看PDF
1. Jianyu Chen, Shengbo Eben Li, Masayoshi Tomizuka, Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning, IEEE Transactions on Intelligent Transportation Systems (TITS), 2021 查看PDF
