Chao Jiang, Ph.D.

Chao Jiang, Ph.D.

He/Him/His

Associate Professor of Electrical Engineering and Computer Science

Robot-Assisted Pedestrian Regulation: Learning optimal human-robot interaction (past project)

Robot-Assisted Pedestrian Regulation
Stochastic skill prediction
Optimization of Merging Pedestrian Flows through Human-Robot Interaction.
Stochastic skill prediction 2
Real-World Pedestrian Regulation Experiment.
Simulation of ADP-Based Robot Motion Control for Pedestrian Regulation.

Publications:

  • [1] Jiang, C., Ni, Z., Guo, Y., & He, H. (2017). Learning human–robot interaction for robot-assisted pedestrian flow optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMC), 49(4), pp. 797-813.
  • [2] Wan, Z., Jiang, C., Fahad, M., Ni, Z., Guo, Y., & He, H. (2018). Robot-assisted pedestrian regulation based on deep reinforcement learning. IEEE Transactions on Cybernetics (T-CYB), 50(4), pp. 1669-1682.
  • [3] Jiang, C., Ni, Z., Guo, Y., & He, H. (2019). Pedestrian flow optimization to reduce the risk of crowd disasters through human–robot interaction. IEEE Transactions on Emerging Topics in Computational Intelligence (T-ETCI), 4(3), pp. 298-311.