I am currently a robotic engineer at EngineAI. Before that, I attained my Ph.D. in the Robotics, Perception & AI Lab in the Department of Electronic Engineering at The Chinese University of Hong Kong(CUHK), Hong Kong SAR, China, supervised by Prof. Max Q.-H. Meng. And I received my B.Eng. degree in Automation from Harbin Institute of Techonology(HIT), Harbin, China, in 2020.

Research Interest

Robotics, Learning-based control, Reinforcement learning.

Preprints

1. Wei Zhan, Liting Sun, Di Wang, Haojie Shi, Aubrey Clausse, Maximilian Naumann, Julius Kummerle, Hendrik Konigshof, Christoph Stiller, Arnaud de La Fortelle, Masayoshi Tomizuka(2019). INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.
2. Haojie Shi, Qingxu Zhu, Lei Han, Wanchao Chi, Tingguang Li, Max Q.-H. Meng(2023). Terrain-Aware Quadrupedal Locomotion via Reinforcement Learning.

Publications

$\dagger$ indicates equal contribution, $*$ indicates corresponding authors.

1. Haojie Shi $\dagger$, Bo Zhou $\dagger$, Hongsheng Zeng, Fan Wang*, Yueqiang Dong, Jiangyong Li, Kang Wang, Hao Tian, Max Q-H Meng*. Reinforcement learning with evolutionary trajectory generator: A general approach for quadrupedal locomotion. IEEE Robotics and Automation Letters with ICRA, 2022.

2. Haojie Shi, Max Q-H Meng*. Deep koopman operator with control for nonlinear systems. IEEE Robotics and Automation Letters with IROS, 2022.

3. Haojie Shi∗, Tingguang Li∗, Qingxu Zhu, Jiapeng Sheng, Lei Han and Max Q.-H. Meng(2023). An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement. ICRA, 2024.

Teaching Experience

• TA in Singals and Systems(ENGG2030) 2021-2022

Contact Info

• Email: h.shi@link.cuhk.edu.hk