Damiano Zanotto (dzanotto)

Damiano Zanotto

Associate Professor

Charles V. Schaefer, Jr. School of Engineering and Science

Mechanical Engineering

Edwin A. Stevens Hall E205
(201) 216-8315

Research

Lower-extremity powered exoskeletons for assistance and rehabilitation
Wearable sensors for motion analysis, quantitative assessment of movement disorders, and injury prevention
Cable-driven parallel robots

Institutional Service

  • CCT Qualifying Exam Committee for Dynamics Chair
  • RCT Qualifying Exam Committee on Automation and Robotics Member
  • SES Undergraduate Curriculum Committee Member
  • CCT Qual Committee on Dynamics, Vibrations and Controls Member
  • RCT Qual Committee on Dynamics, Vibrations and Controls Member

Professional Service

  • Frontiers in Electronics - Wearable Electronics Associate Editor
  • Wearable Technologies, Cambridge University Press Associate Editor
  • IEEE-RAS Technical Committee on Mechanisms and Design Junior Co-Chair
  • ASME and IEEE conferences and journals Reviewer
  • IEEE BioRob 2020 Finance Chair
  • IEEE International Conference on Robotics and Automation (ICRA) Associate Editor
  • IEEE, ASME, Elsevier Reviewer (13 journal papers, 17 conference papers)

Honors and Awards

NSF CAREER, Mind, Machine and Motor Nexus, 2020
Columbia University Translational Fellow Program, 2015-16 Fellowship,
Aldo Gini Foundation, University of Padua, 2010 Research Scholarship to conduct research in the United States
Aldo Gini Foundation, University of Padua, 2009 Research Scholarship to conduct research in the United States

Patents and Inventions

Damiano Zanotto, Ton H. Duong. An Outsole-embedded Optoelectronic Sensor To Measure Shear Ground Reaction Forces During Locomotion, Patent Application No. 63/031,424, Filed May 28, 2020.
Damiano Zanotto, Sunil K. Agrawal, and Huanghe Zhang. Wireless and Retrofittable In-shoe System for Real-time Estimation of Kinematic and Kinetic Gait Parameters, Patent Application No. 16/457,730, Filed June 28, 2019
Sunil K. Agrawal, Damiano Zanotto, and Paul Stegall. Active Movement Training Devices, Methods, and Systems, US Patent 2015/0297934 A1, issued May 30, 2017
Sunil K. Agrawal, Damiano Zanotto, and Emily Marie Boggs. Gait Analysis Devices, Methods and Systems, US20170055880A1, issued March 02, 2017

Selected Publications

Conference Proceeding

  1. Gebre, B. A.; Nogueira, R.; Patidar, S.; Belle-Isle, R.; Nolan, K. J.; Pochiraju, K.; Zanotto, D. (2022). Efficient Digital Modeling and Fabrication Workflow for Individualized Ankle Exoskeletons. 2021 ASME International Mechanical Engineering Congress and Exposition.
  2. Duong, T. T.; Uher, D.; Young, S. D.; Duong, T.; Sangco, M.; Cornett, K.; Montes, J.; Zanotto, D. (2021). Gaussian Process Regression for COP Trajectory Estimation in Healthy and Pathological Gait Using Instrumented Insoles. 2021 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) (pp. Accepted).
  3. Li, S.; Zanotto, D. (2021). Multi-UAV Cooperative Transportation Using Dynamic Control Allocation and a Reinforcement Learning Compensator. ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
  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) (pp. 6795-6802).
  5. Zhang, Y.; Li, S.; Nolan, K. J.; Zanotto, D. (2020). Reinforcement Learning Assist-as-needed Control for Robot Assisted Gait Training. 2020 8th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics. Piscataway, NJ: IEEE.
    https://ieeexplore.ieee.org/.
  6. Duong, T.; Goldman, S.; Zhang, H.; Salazar, R.; Beenders, S.; Cornett, K. M.; Bain, J. M.; Montes, J.; Zanotto, D. (2020). Validation of Insole-based Gait Analysis System in Young Children with a Neurodevelopmental Disorder and Autism Traits. 2020 8th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics. Piscataway, NJ: IEEE.
    https://ieeexplore.ieee.org/.
  7. Duong, T.; Whittaker, D.; Zanotto, D. (2020). An Outsole-Embedded Optoelectronic Sensor to Measure Shear Ground Reaction Forces During Locomotion. 2020 IEEE International Conference on Robotics and Automation (ICRA). Piscataway, NJ: IEEE.
    https://ieeexplore.ieee.org/.
  8. 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/.
  9. 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).
  10. Zhang, Y.; Li, S.; Nolan, K. J.; Zanotto, D. (2020). Adaptive Assist-as-needed Control Based on Actor-Critic Reinforcement Learning. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: IEEE.
    https://ieeexplore.ieee.org/document/8968464.
  11. Li, S.; Zanotto, D. (2020). Tracking Control of Fully-Constrained Cable-Driven Parallel Robots Using Adaptive Dynamic Programming. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: IEEE.
    https://ieeexplore.ieee.org/document/8968569.
  12. Zhang, Y.; Nolan, K. J.; Zanotto, D. (2019). Immediate Effects of Force Feedback and Plantar Somatosensory Stimuli on Inter-limb Coordination During Perturbed Walking. 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) (pp. 252--257).
  13. Duong, T. T.; Zhang, H.; Lynch, T. S.; Zanotto, D. (2019). Improving the Accuracy of Wearable Sensors for Human Locomotion Tracking Using Phase-Locked Regression Models. 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) (pp. 145--150).
  14. Fraize, J.; Fuerth, M.; Zanotto, D. (2018). Design and Preliminary Validation of a Smart Personal Flotation Device. Wearable Robotics: Challenges and Trends, Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 22). Proceeding 4th Symposium on Wearable Robotics (pp. P. 480). Pisa, Italy.
    https://link.springer.com/chapter/10.1007/978-3-030-01887-0_93.
  15. Zhang, Y.; Kleinmann, R. J.; Nolan, K. J.; Zanotto, D. (2018). Design and Evaluation of an Active/Semiactive Ankle-Foot Orthosis for Gait Training. 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) (pp. 544--549).
  16. Zhang, H.; Tay, M. O.; Suar, Z.; Kurt, M.; Zanotto, D. (2018). Regression Models for Estimating Kinematic Gait Parameters with Instrumented Footwear. 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) (pp. 1169--1174).
  17. Chen, Y. F.; Napoli, D.; Agrawal, S. K.; Zanotto, D. (2018). Smart Crutches: Towards Instrumented Crutches for Rehabilitation and Exoskeletons-Assisted Walking. 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) (pp. 193--198).

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. 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).
  4. Szeto, B.; Zanotto, D.; Lopez, E.; Stafford, J.; Nemer, J.; Chambers, A.; Lalwani, A. (2021). Hearing loss is associated with increased variability in double support period in the elderly. Sensors (1 ed., vol. 21, pp. 278). MDPI.
  5. Zhang, Y.; Li, S.; Nolan, K. J.; Zanotto, D. (2021). Shaping Individualized Impedance Landscapes for Gait Training via Reinforcement Learning. Transaction on Bionics and Medical Robotics (1 ed., pp. 194-205). Piscataway, NJ: IEEE.
  6. 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.
  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 (Switzerland) (14 ed., vol. 20, pp. 1-15).
  8. 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.
  9. Scalera, L.; Gasparetto, A.; Zanotto, D. (2019). Design and Experimental Validation of a 3-DOF Underactuated Pendulum-Like Robot. IEEE/ASME Transactions on Mechatronics (1 ed., vol. 25, pp. 217 - 228). Piscataway, NY: IEEE.
  10. Passarini, C.; Zanotto, D.; Boschetti, G. (2019). Dynamic Trajectory Planning for Failure Recovery in Cable-Suspended Camera Systems. Journal of Mechanisms and Robotics (2 ed., vol. 11).
    https://asmedigitalcollection.asme.org/mechanismsrobotics/article/11/2/021001/472346/Dynamic-Trajectory-Planning-for-Failure-Recovery.
  11. Zhang, Y.; Nolan, K. J.; Zanotto, D. (2019). Oscillator-Based Transparent Control of an Active/Semiactive Ankle-Foot Orthosis. IEEE Robotics and Automation Letters (2 ed., vol. 4, pp. 247--253).
  12. Zhang, Y.; Kleinmann, R. J.; Nolan, K. J.; Zanotto, D. (2019). Preliminary Validation of a Cable-Driven Powered Ankle–Foot Orthosis With Dual Actuation Mode. IEEE Transactions on Medical Robotics and Bionics (1 ed., vol. 1, pp. 30--37).