Work Experience:
● 2021 – Present:Assistant Professor, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University
● 2020 – 2021:Software Engineer, Autonomous Vehicle Division, NVIDIA Corporation, USA
● 2017 – 2020:Postdoctoral Researcher, Department of Mechanical and Aerospace Engineering, Cornell University, USA
● 2016 – 2016:R&D Intern, Research and Advanced Engineering Division, Ford Motor Company, USA
Education:
● 2011 – 2017:Ph.D., Department of Mechanical Engineering, University of California, Berkeley, USA
● 2015 – 2016:M.S., Department of Computer Science, University of California, Berkeley, USA
● 2013 – 2014:M.S., Department of Mechanical Engineering, University of California, Berkeley, USA
● 2007 – 2011:B.S., School of Information Science and Technology; Double Major in the School of Mathematical Sciences, Peking University, China
Major Research Achievements:
● Motion planning for intelligent robots to search and track moving targets
● Safe path planning for autonomous vehicles
● Distributed estimation, learning, and motion planning for multi-robot systems
● Motion planning for robot swarms
● Autonomous decision-making for human-robot collaboration based on human intention inference
Major Publications List:
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.
C. Liu, Z. Liao, S. Ferrari, “Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets”, in 59th IEEE Conference on Decision and Control, Jeju Island, 2020.
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.
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.
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.
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.
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.
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.
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.
