Jie Fu

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Assistant Professor,
Department of Robotics Engineering,
Affiliated with Electrical & Computer Engineering Department,
Worcester Polytechnic Institute (WPI)

85 Prescott 222, Worcester, MA 01604
Tel: (508) 831-4963
Control and Intelligent Robotics Laboratory (CIRL)


Dr. Jie Fu is an Assistant Professor with the Department of Robotics Engineering, with an affiliation in Dept. of ECE, at Worcester Polytechnic Institute, Worcester, MA, USA since 2016. She received the M.Sc. degree in Electrical Engineering and Automaton from Beijing Institute of Technology, Beijing, China, in 2009, and the Ph.D. degree in Mechanical Engineering from the University of Delaware, Newark, DE, USA, in 2013. From 2013 to 2015, she was a Postdoctoral Scholar with the University of Pennsylvania. Her research interests include: Control theory, Formal methods, Machine Learning, with applications to Robotic systems and Cyber-Physical Systems. She directs the Control and Intelligent Robotics Laboratory (CIRL) at the Dept. of Robotics Engineering.



  • Nov. 2020: I will give an invited talk titled ‘‘Synthesis Of Deceptive Cyberdefense With Temporal Logic Constraints’’ at the Game Theory for Cyber Deception and Security session, in INFORMS Annual Meeting 2020.

  • Sept. 2020: Our paper titled “Decoy Placement Games on Graphs with Temporal Logic Objectives” is accepted to GameSec2020. The preprint can be found at ArXiv.

  • Aug. 2020: Receive NSF National Robotics Initiative (NRI) award, “Collaborative Research: NRI: INT: Transparent and Intuitive Teleoperation Interfaces for the Future Nursing Robots and Workers”, PI: Jane Li, Co-PI: Cagdas Onal, Jie Fu, Jeanine Skorinko and Yunus Telliel; $731,329, 20200901-20230831). The interdisciplinary project is in collaboration with the Nursing Department of Worcester State University.

  • Our lab website http://labs.wpi.edu/cirl/ is recently updated. Please check out our latest research projects.

  • July, 2020: Our paper titled ‘‘Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot" is accepted to 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020). Video Representation

  • July, 2020: Our paper titled ’'Deceptive Labeling: Hypergames on Graphs for Stealthy Deception" is accepted to IEEE Control Systems Letters (L-CSS) and presentation at IEEE CDC2020. Based on the insight from this paper, we are looking into design defense with deception for cyber security applications and robotic applications.

  • April 2020. Congratulations to Abhishek for our paper ‘‘Deceptive Strategy Synthesis under Action Misperception in Reachability Games’’ being accepted to IJCAI2020. The paper is one of our key research efforts for constructing a hypergame framework for games with temporal logic objectives and asymmetric information.

  • April 2020. Congratulations to Luyao and Andrew for our collaborative paper ‘‘Optimal Minimum Violation Control Synthesis of Cyber-Physical Systems Under Attacks" being accepted by IEEE Transactions on Automatic Control.

  • Jul. 2019. Congratulations to Abhishek and Lening for our papers being accepted at CDC2019.

  • Jan. 2019. Congratulations to Xuan and Lening for our papers being accepted at ACC2019.

  • Jan. 2019. Congratulations to Renato and Xuan for our paper being accepted at ICRA2019.

  • Dec. 2018. In collaboration with Scientific Systems , we won $1 million DARPA grant from SI3CMD program.

  • Aug. 2018. Our research lab website is live: Control and Intelligent Robotics Laboratory (CIRL).

  • Jul. 2018. Two papers were accepted by IEEE CDC 2018.

  • Jan. 2018. Two papers were accepted by IEEE ACC 2018.

  • Sep. 2017. Siddharthan Perundurai Rajasekaran successfully defended his MS thesis titled “Nonparametric Inverse Reinforcement Learning and Approximate Optimal Control with Temporal Logic Tasks”. Congratulations, Siddharthan!

  • Aug. 2017. Received NSF Grant as Co-PI with Prof. Cagdas Onal (PI) on project “Intelligent Soft Robot Mobility in the Real World”.

  • Jul. 2017. Paper titled “Data-Driven Inverse Learning of Passenger Preferences in Urban Public Transits” was accepted by IEEE CDC 2017.

  • Jan. 2017. Paper titled “Adapting to Flexibility: Model Reference Adaptive Control of Soft Bending Actuators” was accepted by IEEE Robotics and Automation Letters. This is a collaborative research with Prof. Cagdas Onal from The Soft Robotics Lab.

  • Jan. 2017. Paper titled “Sampling-based approximate optimal control under temporal logic constraints” was accepted by ACM International Conference on Hybrid Systems: Computation and Control (HSCC 2017).