Assistant Professor
Affiliated with:
Education:
BS Beijing Institute of Technology 2007
MS Electrical Engineering and Automation Beijing Institute of Technology 2009
Ph.D Mechanical Engineering University of Delaware 2013
My research leverages control theory, formal methods, and machine learning to construct adaptive, provably correct cyber-physical systems with respect to complex specifications. The challenges I am currently interested in include: reactive robotic systems under partial information and modeling uncertainty, multi-robot coordination, optimal control of hybrid systems, and design of adaptive semi-autonomous systems.
Office Location
85 Prescott 222
Contact
Phone:
+1-508-831-4963
Lab website
Collective Intelligence and Bionic Robotics (CIBR) Lab
Research Interests
Research Interests:
Control theory
Formal methods
Hybrid systems
Scholarly Work
Jie Fu and Ufuk Topcu, “Synthesis of joint control and active sensing strategies under temporal logic constraints,” IEEE Transactions on Automatic Control, vol.PP, no.99, pp.1-1, 2016 - 2016
Jie Fu, Herbert G. Tanner, and Jeffrey Heinz, “Concurrent multi-agent systems with temporal logic objectives: game theoretic analysis and planning through negotiation,” IET Control Theory & Applications, vol. 9, iss. 3, pp. 465-474, 2015 - 2015
Jie Fu, Herbert G. Tanner, Jeffrey Heinz, and Jane Chandlee, “Adaptive symbolic control for finite-state transition systems with grammatical inference,” IEEE Transactions on Automatic Control, vol.59, no.2, pp. 505–511, 2014 - 2014
Jie Fu and Herbert G. Tanner, “Bottom-up symbolic control: attractor-based planning and behavior synthesis,” IEEE Transactions on Automatic Control,vol.58, no.12, pp. 3142–3155, 2013 - 2013
Jie Fu and Ufuk Topcu, “Probably approximately correct MDP learning and control with temporal logic constraints”, Robotics: Science and Systems, 2014 - 2014
News
September 01, 2017
In the News
These researchers are creating snake-like robots to help search-and-rescue efforts
Professors Cagdas Onal and Jie Fu are featured for developing autonomous snake-like robots that could support search-and-rescue teams.