Chao Jiang

EECS

Assistant Professor

Contact Information

chao.jiang@uwyo.edu

EN 5028

Electrical & Computer Engineering

Office Hours

Personal Website
Chao Jiang
Educational Background: 
  • Ph.D., Electrical Engineering, Stevens Institute of Technology, Hoboken, NJ
  • M.E., Electrical Engineering, Stevens Institute of Technology, Hoboken, NJ
  • B.S., Measurement and Control Technology and Instrumentation, Chongqing University, China

 

Area of Expertise: Dr. Chao Jiang's research interests include autonomous robots, human-robot interaction, multiple and distributed systems, healthcare robotics, robotic learning, and stochastic optimal control. 
 
Selected Publications:
B.A. Miller, V.R. Bharadwaj, C. Jiang and V.D. Novak. "Dynamic patient-robot assignment in a simulated stochastic robotic rehabilitation gym." IEEE Transactions on Medical Robotics and Bionics, to appear.
 
V.R. Bharadwaj, B.A. Miller, V.D. Novak and C. Jiang, "Preference augmented Q-Learning for patient exercise scheduling in a robotic rehabilitation gym," in 2025 IEEE International Conference on Rehabilitation Robotics (ICORR), to appear.
 
V.R. Bharadwaj, B.A. Miller, V.D. Novak and C. Jiang, "Learning skill training schedules from domain experts in a rehabilitation gym using inverse reinforcement learning" in 2024 IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob). DOI: 10.1109/BioRob60516.2024.10719705.
 
U. Atan, V.R. Bharadwaj and C. Jiang, "Assistive control of robot arms via adaptive shared autonomy ." in 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). DOI: 10.1109/AIM55361.2024.10637239.
 
C. Jiang, "Distributed sampling-based model predictive control via belief propagation for multi-robot formation navigation." IEEE Robotics and Automation Letters, vol. 9, no. 4 (2024): 3467-3474. DOI: 10.1109/LRA.2024.3368794.
 
B. Adhikari, V.R. Bharadwaj, B.A. Miller, V.D. Novak and C. Jiang, "Learning skill training schedules from domain experts for a multi-patient multi-robot rehabilitation gym." IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 31 (2023): 4256-4265. DOI: 10.1109/TNSRE.2023.3326777.
 
C. Jiang and Y. Guo, "Incorporating control barrier functions in distributed model predictive control for multi-robot coordinated control." IEEE Transactions on Control of Network Systems, vol. 11, no. 1 (2024): 547 - 557. DOI: 10.1109/TCNS.2023.3290430.
 
C. Jiang, X. Huang and Y. Guo, "End-to-end decentralized formation control using graph neural network-based learning method." Frontiers in Robotics and AI, 10 (2023):1285412. DOI: 10.3389/frobt.2023.1285412.
 
B.A. Miller, B. Adhikari, C. Jiang and V.D. Novak. "Automated patient-robot task assignment in a simulated stochastic rehabilitation gym." in 2023 IEEE International Conference on Rehabilitation Robotics (ICORR). DOI: 10.1109/ICORR58425.2023.10304716.
 
B.A. Miller, B. Adhikari, C. Jiang and V.D. Novak. "Automated patient-robot assignment for a robotic rehabilitation gym: a simplified simulation model." Journal of NeuroEngineering and Rehabilitation, vol. 19, no. 1 (2022): 126. DOI: 10.1186/s12984-022-01105-4.
 
B. Adhikari, S. Ranashing ,  B.A. Miller, V.D. Novak and C. Jiang, "Learning dynamic patient-robot task assignment and scheduling for a robotic rehabilitation gym." in 2022 IEEE International Conference on Rehabilitation Robotics (ICORR). DOI: 10.1109/ICORR55369.2022.9896498.
 
L. Chang, L. Shan, C. Jiang and Y. Dai, "Reinforcement based mobile robot path planning with improved dynamic window approach in unknown environment". Autonomous Robots, 45 (2021): 51-76. DOI: 10.1007/s10514-020-09947-4.
 
C. Jiang and Y. Guo, "Multi-robot guided policy search for learning decentralized swarm control," IEEE Control Systems Letters, vol. 5, no. 3 (2021): 743 - 748. DOI:10.1109/LCSYS.2020.3005441. Presented in the 59th IEEE Conference on Decision and Control (CDC).
 
C. Jiang, Z. Chen and Y. Guo, "Multi-robot formation control: A comparison between model-based and learning-based methods," Journal of Control and Decision, vol. 7, no. 1 (2020): 90-108. DOI: 10.1080/23307706.2019.1697970.
 
C. Jiang, Z. Ni, Y. Guo and H. He, "Pedestrian flow optimization to reduce the risk of crowd disasters through human–robot interaction," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, no. 3 (2019): 298-311. DOI: 10.1109/TETCI.2019.2930249.
 
C. Jiang, Z. Ni, Y. Guo and H. He, "Optimization of merging pedestrian flow based on adaptive dynamic programming," in 2019 American Control Conference (ACC). DOI: 10.23919/ACC.2019.8814597.
 
C. Jiang, Z. Chen and Y. Guo, "Learning decentralized control policies for multi-robot formation," in IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). DOI: 10.1109/AIM.2019.8868898.
 
Z. Chen, C. Jiang and Yi Guo, "Distance-based formation control of a three-robot system," in 2018 Chinese Control and Decision Conference (CCDC), Nanchang, 2019, pp. 5574-5580. DOI: 10.1109/CCDC.2019.8833001.
 
C. Jiang, M. Fahad, Y. Guo and Y. Chen, "Robot-assisted smartphone localization for human indoor tracking," Robotics and Autonomous Systems, vol. 106 (2018): 82-94. DOI: 10.1016/j.robot.2018.04.011.
 
Z. Wan, C. Jiang, M. Fahad, Z. Ni, H. He and Y. Guo, "Robot-assisted pedestrian regulation based on deep reinforcement learning," IEEE Transactions on Cybernetics, vol. 50, no. 4 (2020): 1669 - 1682. DOI:10.1109/TCYB.2018.2878977.
 
Z. Chen, C. Jiang and Yi Guo, "Pedestrian-robot interaction experiments in an exit corridor," in 2018 International Conference on Ubiquitous Robots (UR). DOI: 10.1109/URAI.2018.8441839.
 
C. Jiang, Z. Ni, Y. Guo and H. He, "Learning human-robot interaction for robot-assisted pedestrian flow optimization," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 4 (2019): 797-813. DOI: 10.1109/TSMC.2017.2725300.
 
B. Tang, C. Jiang, H. He and Y. Guo, "Human mobility modeling for robot-assisted evacuation in complex indoor environments," IEEE Transactions on Human-Machine Systems, vol. 46, no. 5 (2016): 694-707. DOI: 10.1109/THMS.2016.2571269.
 
C. Jiang, Z. Ni, Y. Guo and H. He, "Robot-assisted pedestrian regulation in an exit corridor," in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). DOI: 10.1109/IROS.2016.7759145.
 
B. Tang, C. Jiang, H. He and Y. Guo, "Probabilistic human mobility model in indoor environment," in 2016 International Joint Conference on Neural Networks (IJCNN). DOI: 10.1109/IJCNN.2016.7727389.
 
Honors and Awards: 
Outstanding Ph.D. Dissertation Award in Electrical Engineering, Stevens Institute of Technology, 2019
Innovation & Entrepreneurship Doctoral Fellowship, Stevens Institute of Technology, 2012 - 2016
Outstanding Research Assistant Award, Dept. of ECE, Stevens Institute of Technology, 2016
Travel Grants Award, American Control Conference (ACC), 2019
Travel Grants Award, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014