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:
U. Atan, V.R. Bharadwaj and C. Jiang, "A Probabilistic inference approach for skill-based shared autonomy in assistive robotic manipulation." IEEE Robotics and Automation Letters, 2025. DOI: 10.1109/LRA.2025.3595044.
 
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, 2025. DOI: 10.1109/TMRB.2025.3573025.
 
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). DOI: 10.1109/ICORR66766.2025.11063100.
 
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