智能机器人的自主决策、运动规划和状态估计；多机器人系统的协同感知与运动规划；基于意图推理的人机合作。应用于自主移动机器人、自动驾驶汽车等平台。

本课题组长期招收具有自动控制、智能科学、计算机、电子、数学、机械等相关专业背景的博士研究生和博士后，同时欢迎相关专业优秀本科生参与科研项目。有兴趣的同学请邮件联系。

2021 – 至今   北京大学，工学院先进制造与机器人系，助理教授
2020 – 2021   美国英伟达公司，自动驾驶汽车部门，软件工程师
2017 – 2020   美国康奈尔大学，机械与航天工程系，博士后
2016 – 2016 美国福特汽车公司，研究与先进工程部门，研发实习生

2011 – 2017   美国加州大学伯克利分校，机械工程系，博士
2015 – 2016   美国加州大学伯克利分校，计算机科学系，硕士
2013 – 2014   美国加州大学伯克利分校，机械工程系，硕士
2007 – 2011   北京大学，信息科学技术学院，学士；数学科学学院，双学位

智能机器人对移动目标进行搜索和追踪的运动规划；无人车的安全路径规划；多机器人系统的分布式估计、学习和运动规划；机器人集群的运动规划；基于人意图推理的、用于人机合作的机器人自主决策。

1. P. Zhu, C. Liu, S. Ferrari, “Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems”, in IEEE Transactions on Control of Network Systems, vol. 8, no. 2, pp. 678-689, Jul. 2021.
2. C. Liu, Z. Liao, S. Ferrari, “Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets”, in 59^th IEEE Conference on Decision and Control, Jeju Island, 2020.
3. C. Liu, Y. Chen, J. Gemerek, H. Yang, S. Ferrari, “Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors”, in International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019.
4. C. Liu, S. Li, J. K. Hedrick, “Distributed Bayesian Filter using Measurement Dissemination for Multiple UGVs with Dynamically Changing Interaction Topologies”, ASME Journal of Dynamic Systems, Measurement and Control, vol. 140, no. 3, pp. 030903-030903-11, Nov. 2017.
5. C. Liu, S. Li, J. K. Hedrick, “Measurement Dissemination-based Distributed Bayesian Filter using the Latest-In-and-Full-Out Exchange Protocol for Networked Unmanned Vehicles”, IEEE Transactions on Industrial Electronics (TIE), vol. 64, no. 11, pp. 8756-8766, Nov. 2017.
6. D. Lee, C. Liu, Y. W. Liao and J. K. Hedrick, "Parallel Interacting Multiple Model-Based Human Motion Prediction for Motion Planning of Companion Robots," in IEEE Transactions on Automation Science and Engineering (T-ASE), vol. 14, no. 1, pp. 52-61, Jan. 2017.
7. C. Liu, J. K. Hedrick, "Model Predictive Control-Based Target Search and Tracking Using Autonomous Mobile Robot with Limited Sensing Domain," in American Control Conference (ACC), Seattle, WA, 2017.
8. C. Liu, S. Lee, S. Varnhagen, E. Tseng, "Path Planning for Autonomous Vehicles using Model Predictive Control," in IEEE Intelligent Vehicles Symposium (IV), Redondo Beach, 2017.
9. C. Liu*, J. Hamrick*, J. Fisac*, A. Dragan, J. K. Hedrick, S. Sastry, T. Griffiths, "Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration," in IFAAMAS International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Singapore, 2016.