Hello there, I’m Haichao Liu (刘海超), currently a Ph.D. student at Robot Motion Planning and Control Lab of The Hong Kong University of Science and Technology (Guangzhou) (2022-Present), supervised by Prof. Jun MA, Prof. Ming LIU and Prof. Shaojie SHEN. Prior to this, I received my Master’s degree (2020-2022) from the Institute of Intelligent Control and Systems and the State Key Laboratory of Robotics and System at Harbin Institute of Technology, where I was supervised by Prof. Huijun GAO and Prof. Weiyang LIN. I received my bachelor’s degree (2016-2020) at Northeastern University, majoring in Robot Engineering, Faculty of Robot Science and Engineering.

Research Interests

My research interests include the areas of Robotics and Autonomous Driving, with focus on:

• Motion Planning and Control for Autonomous Driving
• Convex and Non-Convex Optimization
• Safe Learning and Decision-Making for Robot Manipulation

I am always open to potential collaborations, please feel free to contact me at haichao.liu@connect.ust.hk.

Publications

LMMCoDrive: Cooperative Driving with Large Multimodal Model

H. Liu, R. Yao, Z. Huang, S. Shen, and J. Ma, “LMMCoDrive: Cooperative Driving with Large Multimodal Model,” arXiv preprint arXiv: 2409.11981, 2024.

Robot Navigation in Unknown and Cluttered Workspace with Dynamical System Modulation in Starshaped Roadmap

K. Chen, H. Liu, Y. Li, J. Duan, L. Zhu, and J. Ma, “Robot navigation in unknown and cluttered workspace with dynamical system modulation in starshaped roadmap,” arXiv preprint arXiv: 2403.11484, 2024

Parallel optimization with hard safety constraints for cooperative planning of connected autonomous vehicles

Z. Huang, H. Liu, S. Shen, and J. Ma, “Parallel optimization with hard safety constraints for cooperative planning of connected autonomous vehicles,” in Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2024, pp. 1-7.

Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving

H. Zhou, H. Liu, H. Lu, D. Xu, J. Ma, and Y. Ji, “Enhance planning with physics-informed safety controller for end-to-end autonomous driving,” arXiv preprint arXiv: 2405.00316, 2024

Improved consensus ADMM for cooperative motion planning of large-scale connected autonomous vehicles with limited communication

H. Liu, Z. Huang, Z. Zhu, Y. Li, S. Shen, and J. Ma, “Improved consensus ADMM for cooperative motion planning of large-scale connected autonomous vehicles with limited communication,” IEEE Transactions on Intelligent Vehicles, vol. 0, no. 0, pp. 1-16, 2024.

Incremental learning-based real-time trajectory prediction for autonomous driving via sparse Gaussian process regression

H. Liu, K. Chen, and J. Ma, “Incremental learning-based real-time trajectory prediction for autonomous driving via sparse Gaussian process regression,” in Proceedings of Intelligent Vehicles Symposium(IV), IEEE, 2024, pp. 1-7.

Geometry-aware safety-critical local reactive controller for robot navigation in unknown and cluttered environments

Y. Li, X. Tang, K. Chen, C. Zheng, H. Liu, and J. Ma, “Geometry-aware safety-critical local reactive controller for robot navigation in unknown and cluttered environments,” IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3419 - 3426, 2024.

Integrated behavior planning and motion control for autonomous vehicles with traffic rules compliance

H. Liu, K. Chen, Y. Li, Z. Huang, J. Duan, and J. Ma, “Integrated behavior planning and motion control for autonomous vehicles with traffic rules compliance,” in Proceedings of IEEE International Conference on Robotics and Biomimetics (ROBIO), IEEE, 2023, pp. 1-7.

Real-time parallel trajectory optimization with spatiotemporal safety constraints for autonomous driving in congested traffic

L. Zheng, R. Yang, Z. Peng, H. Liu, M. Y. Wang, and J. Ma, “Real-time parallel trajectory optimization with spatiotemporal safety constraints for autonomous driving in congested traffic,” in Proceedings of 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023, pp. 1186-1193.

Bio-inspired robot swarm path formation with local sensor scope

Y. Zhao, Z. Qu, H. Liu, and R. Zhu, “Bio-inspired robot swarm path formation with local sensor scope,” Applied Intelligence, vol. 53, no. 1, pp. 17310-17326, 2022.

Solving a Multi-robot Search Problem with Bionic Sarsa Algorithm and Artificial Potential Field

H. Liu, Z. Qu and R. Zhu, "Solving a Multi-robot Search Problem with Bionic Sarsa Algorithm and Artificial Potential Field," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 1830-1835.

Research on Robot Visual Grabbing Based on Mechanism Analysis

H. Liu, Z. Liu, H. Liu and W. Lin, "Research on Robot Visual Grabbing Based on Mechanism Analysis," 2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), Jiaxing, China, 2021, pp. 181-186.

Internship

• Industrial Robot R&D, Siasun Robot&Automation Co., Ltd from Shenyang Institute of Automation, Chinese Academy of Sciences

Selected Honors

• Winning Team (1st place) of the Venture Capital on Campus, 2024, HKSTP
• HKUST Postgraduate Scholarship (Guangzhou Pilot Scheme), 2022, Hong Kong University of Science and Technology
• Outstanding Graduate, 2022, Harbin Institute of Technology
• Chiang Chen Oversea Research Scholarship, 2022, Chiang Chen Industrial Charity Foundation
• He Gao Scholarship, 2021, Robotics Institute, Harbin Institute of Technology
• Chiang Chen Scholarship, 2021, School of Mechatronics Engineering, Harbin Institute of Technology
• Outstanding League Cadre, 2021, Harbin Institute of Technology
• First-class Scholarship for PG, 2020, 2021, Harbin Institute of Technology
• Outstanding UG Graduation Thesis, 2020, Faculty of Robot Science and Engineering, NEU
• Outstanding Graduate (Cadre), 2020, Northeastern University
• First-class Scholarship for UG, 2020, Northeastern University
• National Inspirational Scholarship, 2017, 2018, 2019, Ministry of Education of P.R. China
• Outstanding Student, 2017, 2018, 2019, Northeastern University
• Michelin Scholarship, 2017, Northeastern University
• Second Prize of the China University Mathematical Contest in Modeling (CUMCM), 2018, China Society for Industrial and Applied Mathematics

Community Services

• Technical Reviewer: IEEE Transactions on Cybernetics, Aerospace Science and Technology, IV Symposium, ICRA, IROS, ROBIO, IECON
• Vice President of HKUST-GSAA
• Senate Committee Member of HKUST(GZ)