Yi Guo (yguo1)

Yi Guo

Professor and Thomas E. Hattrick Chair Professor

Burchard 202
(201) 216-8246

Research

Cooperative and autonomous mobile robotics
Human-robot interaction
Nonlinear control of multi-scale dynamic systems
Power system dynamics and control

General Information

Yi Guo joined Department of Electrical and Computer Engineering at Stevens Institute of Technology in 2005, and is currently Professor. Before that, she was Visiting Assistant Professor in ECE Department of University of Central Florida between 2002 and 2005. Dr. Guo received her Ph.D degree in Electrical and Information Engineering in 1999 from University of Sydney, Australia. After her Ph.D, she worked as a postdoctoral research fellow in Computer Science and Mathematics Division at Oak Ridge National Laboratory between 2000 and 2002.

Institutional Service

  • ECE Graduate Committee Member
  • Institute Tenure and Promotion Committee Member
  • Faculty Senate Member
  • Board of Trustees Member
  • SES Honors & Awards Committee Member
  • 150th Anniversary Academic Symposium Committee Member

Professional Service

  • IEEE Robotics and Automation Magazine Editor in Chief
  • IEEE Robotics and Automation Society Technical Activity Committee
  • 2023 IEEE International Conference on Robotics and Automation Organizing Committee Member
  • IEEE Robotics and Automation Society Committee to Aid Reporting on Misconduct Concerns (CARES)
  • IROS Student and Developing Countries Travel Award Committee Committee Co-Chair
  • 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems Finance Chair
  • 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems Finance Chair

Professional Societies

  • IEEE – Institute of Electrical and Electronics Engineers Senior member

Grants, Contracts and Funds

National Science Foundation
US Army
Department of Defense

Selected Publications

Conference Proceeding

  1. Zhang, H.; Chen, Z.; Zanotto, D.; Guo, Y. (2020). Robot-Assisted and Wearable Sensor-Mediated Autonomous Gait Analysis. 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 6795-6802).
  2. Guo, Y. (2020). Learning Human-like Motion Planning Using Measured Human Trajectories in Crowded Spaces. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems .
  3. Fahad, M.; Yang, G.; Guo, Y. (2020). Learning human navigation behavior using measured human trajectories in crowded spaces. IEEE International Conference on Intelligent Robots and Systems (pp. 11154-11160).
  4. Zhang, H.; Chen, Z.; Zanotto, D.; Guo, Y. (2020). Robot-Assisted and Wearable Sensor-Mediated Autonomous Gait Analysis. 2020 IEEE International Conference on Robotics and Automation (ICRA). Piscataway, NJ: IEEE.
    https://ieeexplore.ieee.org/.
  5. Zhang, H.; Chen, Z.; Zanotto, D.; Guo, Y. (2020). Robot-Assisted and Wearable Sensor-Mediated Autonomous Gait Analysis§. Proceedings - IEEE International Conference on Robotics and Automation (pp. 6795-6802).
  6. Jiang, C.; Guo, Y. (2019). Learning Decentralized Control Policies for Multi-Robot Formation. Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
  7. Chen, Z.; Jiang, C.; Guo, Y. (2019). Distance-based Formation Control of a Three-Robot System. 2019 Chinese Control And Decision Conference (CCDC). IEEE.
    http://dx.doi.org/10.1109/ccdc.2019.8833001.
  8. Fahad, M.; Guo, Y.; Bingham, B.; Krasnosky, K.; Fitzpatrick, L.; Sanabria, F. A. (2019). Ocean Plume Tracking with Unmanned Surface Vessels: Algorithms and Experiments. Proceedings of the World Congress on Intelligent Control and Automation (WCICA) (vol. 2018-July, pp. 1-6).
  9. Fahad, M.; Chen, Z.; Guo, Y. (2018). Learning How Pedestrians Navigate: A Deep Inverse Reinforcement Learning Approach. IEEE International Conference on Intelligent Robots and Systems (pp. 819-826).
  10. Chen, Z.; Jiang, C.; Guo, Y. (2018). Pedestrian-Robot Interaction Experiments in an Exit Corridor. 2018 15th International Conference on Ubiquitous Robots, UR 2018 (pp. 29-34).

Editorial, Journal

  1. Guo, Y. (2022). New Ideas, Old Tricks [From the Editor's Desk]. IEEE Robotics & Automation Magazine (2 ed., vol. 29, pp. 4-4). Institute of Electrical and Electronics Engineers (IEEE).
    http://dx.doi.org/10.1109/mra.2022.3165906.
  2. Guo, Y. (2022). Reality Check [From the Editor’s Desk]. IEEE Robotics & Automation Magazine (1 ed., vol. 29, pp. 4-4). Institute of Electrical and Electronics Engineers (IEEE).
    http://dx.doi.org/10.1109/mra.2022.3143185.
  3. Guo, Y. (2021). Going Strong [From the Editor's Desk]. IEEE Robotics and Automation Magazine (3 ed., vol. 28, pp. 4-6).
  4. Guo, Y. (2021). Science Matters, Robotics Matters [From the Editor's Desk]. IEEE Robotics and Automation Magazine (2 ed., vol. 28, pp. 4).

Journal Article

  1. Chen, Z.; Zhang, H.; Zaferiou, A.; Zanotto, D.; Guo, Y. (2022). Mobile Robot Assisted Gait Monitoring and Dynamic Margin of Stability Estimation. IEEE Transactions on Medical Robotics and Bionics (2 ed., vol. 4, pp. 460-471).
  2. Zhang, H.; Li, S.; Zhao, Q.; Rao, A. K.; Guo, Y.; Zanotto, D. (2022). Reinforcement Learning-Based Adaptive Biofeedback Engine for Overground Walking Speed Training. IEEE Robotics and Automation Letters (3 ed., vol. 7, pp. 8487-8494).
  3. Cui, Z.; Ma, W.; Lai, J.; Chu, H. K.; Guo, Y. (2022). Coupled Multiple Dynamic Movement Primitives Generalization for Deformable Object Manipulation. IEEE Robotics and Automation Letters (2 ed., vol. 7, pp. 5381-5388).
  4. Zhang, H.; Duong, T. T.; Rao, A. K.; Mazzoni, P.; Agrawal, S. K.; Guo, Y.; Zanotto, D. (2022). Transductive Learning Models for Accurate Ambulatory Gait Analysis in Elderly Residents of Assisted Living Facilities. IEEE Transactions on Neural Systems and Rehabilitation Engineering (vol. 30, pp. 124-134).
  5. Jiang, C.; Guo, Y. (2021). Multi-Robot Guided Policy Search for Learning Decentralized Swarm Control. IEEE Control Systems Letters (3 ed., vol. 5, pp. 743-748).
  6. Guo, Y. (2020). Multi-robot formation control: a comparison between model-based and learning-based methods. Journal of Control and Decision.
  7. Zhang, H.; Yin, Y.; Chen, Z.; Zhang, Y.; Rao, A. K.; Guo, Y.; Zanotto, D. (2020). Wearable Biofeedback System to Induce Desired Walking Speed in Overground Gait Training. Sensors (14 ed., vol. 20, pp. 4002). Basel: MDPI.
    https://www.mdpi.com/1424-8220/20/14/4002.
  8. Zhang, H.; Yin, Y.; Chen, Z.; Zhang, Y.; Rao, A. K.; Guo, Y.; Zanotto, D. (2020). Wearable biofeedback system to induce desired walking speed in overground gait training. Sensors (Switzerland) (14 ed., vol. 20, pp. 1-15).
  9. Jiang, C.; Ni, Z.; Guo, Y.; He, H. (2020). Pedestrian Flow Optimization to Reduce the Risk of Crowd Disasters Through Human-Robot Interaction. IEEE Transactions on Emerging Topics in Computational Intelligence (3 ed., vol. 4, pp. 298-311).
  10. Zhang, H.; Guo, Y.; Zanotto, D. (2020). Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models. IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 ed., vol. 28, pp. 191-202). Piscataway, NJ: IEEE.
    https://ieeexplore.ieee.org/document/8930581.
  11. Wang, J. W.; Guo, Y.; Fahad, M.; Bingham, B. (2019). Dynamic Plume Tracking by Cooperative Robots. IEEE/ASME Transactions on Mechatronics (2 ed., vol. 24, pp. 609-620).
  12. Jiang, C.; Ni, Z.; Guo, Y.; He, H. (2019). Learning Human-Robot Interaction for Robot-Assisted Pedestrian Flow Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems (4 ed., vol. 49, pp. 797-813).
  13. Shan, L.; Chang, L.; Xu, S.; Jiang, C.; Guo, Y. (2018). Robot-assisted pedestrian flow control of a controlled pedestrian corridor. International Journal of Advanced Robotic Systems (6 ed., vol. 15).
  14. Jiang, C.; Fahad, M.; Guo, Y.; Chen, Y. (2018). Robot-assisted smartphone localization for human indoor tracking. Robotics and Autonomous Systems (vol. 106, pp. 82-94).