Damiano Zanotto
Associate Professor
Charles V. Schaefer, Jr. School of Engineering and Science
Department of Mechanical Engineering
Research
• Lower-extremity powered orthoses/exoskeletons for locomotor assistance and rehabilitation
• Wearable sensors and machine-learning models for real-world gait monitoring, quantitative assessment of movement disorders, and injury prevention
• Cable-driven parallel robots and suspended-load transportation systems
• Wearable sensors and machine-learning models for real-world gait monitoring, quantitative assessment of movement disorders, and injury prevention
• Cable-driven parallel robots and suspended-load transportation systems
General Information
• Associate Research Scientist, Columbia University, New York, NY, 2013-16
• Postdoctoral Fellow, University of Delaware, Newark, DE, 2011-13
• Ph.D., Mechatronics, University of Padua (Italy), 2011
• M.S., Mechanical Engineering, University of Padua (Italy), 2007
• B.S., Mechanical Engineering, University of Padua (Italy), 2005
• Postdoctoral Fellow, University of Delaware, Newark, DE, 2011-13
• Ph.D., Mechatronics, University of Padua (Italy), 2011
• M.S., Mechanical Engineering, University of Padua (Italy), 2007
• B.S., Mechanical Engineering, University of Padua (Italy), 2005
Professional Service
- IEEE Robotics and Automation Letters (RAL) Associate Editor
- 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
Appointments
• Associate Professor (with tenure), Department of Mechanical Engineering, Stevens Institute of Technology, 2022-Present
• Assistant Professor, Department of Mechanical Engineering, Stevens Institute of Technology, 2016-2022
• Associate Research Scientist, Department of Mechanical Engineering, Columbia University, 2013-2016
• Postdoctoral Research Fellow, Department of Mechanical Engineering, University of Delaware, 2011-2013
• Graduate Research Assistant (PhD Program), Dept. of Innovation in Mechanics and Management, University of Padua, Italy, 2008-2010
• Graduate Research Assistant (M.S. Thesis), Dept. of Innovation in Mechanics and Management, University of Padua, Italy, 2007
• Graduate Research Assistant (B.S. Thesis), Dept. of Innovation in Mechanics and Management, University of Padua, Italy, 2005
• Assistant Professor, Department of Mechanical Engineering, Stevens Institute of Technology, 2016-2022
• Associate Research Scientist, Department of Mechanical Engineering, Columbia University, 2013-2016
• Postdoctoral Research Fellow, Department of Mechanical Engineering, University of Delaware, 2011-2013
• Graduate Research Assistant (PhD Program), Dept. of Innovation in Mechanics and Management, University of Padua, Italy, 2008-2010
• Graduate Research Assistant (M.S. Thesis), Dept. of Innovation in Mechanics and Management, University of Padua, Italy, 2007
• Graduate Research Assistant (B.S. Thesis), Dept. of Innovation in Mechanics and Management, University of Padua, Italy, 2005
Innovation and Entrepreneurship
• NSF National I-Corps Program Cohort #3, 2023
• Gotham Innovation Gambit - I-Corps Lean Bootcamp Spring, 2023
• Wharton Princeton Entrepreneurship Program, 2021
• Columbia University - Coulter Translational Research Partnership, 2015
• Gotham Innovation Gambit - I-Corps Lean Bootcamp Spring, 2023
• Wharton Princeton Entrepreneurship Program, 2021
• Columbia University - Coulter Translational Research Partnership, 2015
Honors and Awards
• Outstanding Associate Editor, IEEE Robotics and Automation Letters, 2024
• Outstanding Associate Editor, IEEE Robotics and Automation Letters, 2023
• Best IEEE Robotics and Automation Letters paper award (BioRob), 2nd prize, 2022
• NSF CAREER Award, 2020
• Columbia University Translational Fellow Program, 2015-16 Fellowship
• Aldo Gini Foundation Scholarship, 2010
• Aldo Gini Foundation Scholarship, 2009
• Outstanding Associate Editor, IEEE Robotics and Automation Letters, 2023
• Best IEEE Robotics and Automation Letters paper award (BioRob), 2nd prize, 2022
• NSF CAREER Award, 2020
• Columbia University Translational Fellow Program, 2015-16 Fellowship
• Aldo Gini Foundation Scholarship, 2010
• Aldo Gini Foundation Scholarship, 2009
Professional Societies
- ASME – American Society of Mechanical Engineers Member
- IEEE – Institute of Electrical and Electronics Engineers Member
Grants, Contracts and Funds
• 2024, National Institutes of Health (NIH), 1R01HD112908-01A1, Establishing Walking-related Digital Biomarkers in Rare Childhood Onset Progressive Neuromuscular Disorders (Role: MPI)
• 2023, National Science Foundation, NSF 2322980, I-Corps: AI-Enabled Shoe Insoles to Assess Walking Function in Real Life Environments (Role: PI)
• 2022, Congressionally Directed Medical Research Programs (CDMRP/PRORP), W81XWH2210193, Machine Learning Methods to Individualize Powered Orthotic Intervention for Improved Functional Recovery After Lower Extremity Trauma (Role: PI)
• 2022, National Science Foundation, NSF 2229538, NSF/FDA SIR: Towards the Establishment of a Validation Framework for Wearable Motion Analysis Systems: Development and Evaluation of an Open-Design Sync Platform (Role: PI)
• 2021, New Jersey Department of Health, CAUT22ACP004, Making Strides Toward Identifying Objective Behavioral Signatures of ASD Severity: A Micro-Movement Gait Analysis Approach (Role: PI)
• 2020, National Science Foundation, NSF 1944203, CAREER: Reinforcement-Learning Assist-As-Needed Control For Robot-Assisted Gait Training (Role: PI)
• 2019, National Science Foundation, NSF 1838799, SCH: INT: Collaborative Research: Aging In Place Through Enhanced Mobility and Social Connectedness: An Integrated Robot and Wearable Sensor Approach (Role: Co-PI)
• 2019, U.S. Muscular Dystrophy Association, MDA 629259, Wearable Technology to Assess Gait Function in SMA and DMD (Role: PI)
• 2018, New Jersey Health Foundation, PC 6-18, Gait Training After Stroke Using an Affordable Powered AFO with Somatosensory Stimulation (Role: PI)
• 2023, National Science Foundation, NSF 2322980, I-Corps: AI-Enabled Shoe Insoles to Assess Walking Function in Real Life Environments (Role: PI)
• 2022, Congressionally Directed Medical Research Programs (CDMRP/PRORP), W81XWH2210193, Machine Learning Methods to Individualize Powered Orthotic Intervention for Improved Functional Recovery After Lower Extremity Trauma (Role: PI)
• 2022, National Science Foundation, NSF 2229538, NSF/FDA SIR: Towards the Establishment of a Validation Framework for Wearable Motion Analysis Systems: Development and Evaluation of an Open-Design Sync Platform (Role: PI)
• 2021, New Jersey Department of Health, CAUT22ACP004, Making Strides Toward Identifying Objective Behavioral Signatures of ASD Severity: A Micro-Movement Gait Analysis Approach (Role: PI)
• 2020, National Science Foundation, NSF 1944203, CAREER: Reinforcement-Learning Assist-As-Needed Control For Robot-Assisted Gait Training (Role: PI)
• 2019, National Science Foundation, NSF 1838799, SCH: INT: Collaborative Research: Aging In Place Through Enhanced Mobility and Social Connectedness: An Integrated Robot and Wearable Sensor Approach (Role: Co-PI)
• 2019, U.S. Muscular Dystrophy Association, MDA 629259, Wearable Technology to Assess Gait Function in SMA and DMD (Role: PI)
• 2018, New Jersey Health Foundation, PC 6-18, Gait Training After Stroke Using an Affordable Powered AFO with Somatosensory Stimulation (Role: PI)
Patents and Inventions
• Zanotto, D. , Zhang, H., Duong, T. H. Accurate Ambulatory Gait Analysis with Wearable Sensors Using Transductive Learning Inference Models, U.S. 63/182,723, Filed April 30, 2022.
• Zanotto, D., Agrawal, S. K., Zhang, H., Wireless and Retrofittable In-shoe System for Real-time Estimation of Kinematic and Kinetic Gait Parameters, Patent No. US11439325B2, September 13, 2022.
• Zanotto D., Duong, T. H. An Outsole-embedded Optoelectronic Sensor To Measure Shear Ground Reaction Forces During Locomotion, PCT/US2021/035004, Published Dec 02, 2021.
• Agrawal, S.K., Zanotto, D., Boggs, E.M., Prado de la Mora, A. J., Gait Analysis Devices, Methods and Systems, US Patent 2020/0000373A1, Published Jan 02, 2020.
• Agrawal, S.K., Zanotto, D., Stegall, P., Active Movement Training Devices, Methods, and Systems, US Patent 2015/0297934 A1, issued May 30, 2017
• Zanotto, D., Agrawal, S. K., Zhang, H., Wireless and Retrofittable In-shoe System for Real-time Estimation of Kinematic and Kinetic Gait Parameters, Patent No. US11439325B2, September 13, 2022.
• Zanotto D., Duong, T. H. An Outsole-embedded Optoelectronic Sensor To Measure Shear Ground Reaction Forces During Locomotion, PCT/US2021/035004, Published Dec 02, 2021.
• Agrawal, S.K., Zanotto, D., Boggs, E.M., Prado de la Mora, A. J., Gait Analysis Devices, Methods and Systems, US Patent 2020/0000373A1, Published Jan 02, 2020.
• Agrawal, S.K., Zanotto, D., Stegall, P., Active Movement Training Devices, Methods, and Systems, US Patent 2015/0297934 A1, issued May 30, 2017
Selected Publications
JOURNALS:
1. S. Li, T. T. H. Duong and D. Zanotto, "In-Flight Cable Length Control for Improved Quadrotor-Based Suspended Load Transportation," in IEEE Robotics and Automation Letters, vol. 9, no. 1, pp. 667-674, Jan. 2024
2. Duong, T.T., Uher, D., Dunaway Young, S., Farooquee, R., Druffner, A., Pasternak, C., Kanner, C., Fragala-Pinkham, M., Montes, J. and Zanotto, D., 2023. Accurate COP Trajectory Estimation in Healthy and Pathological Gait Using Multimodal Instrumented Insoles and Deep Learning Models, in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 4801-4811, 2023.
3. Leong, S., Teh, B.M., Duong, T., Hu, D., Chui, A., Chen, J.S., Sisti, M.B., Wang, T.J., Zanotto, D. and Lalwani, A.K., 2023. Instrumented insoles for assessment of gait in patients with vestibular schwannoma. Wearable Technologies, 4, p.e14.
4. Duong, T.T., Uher, D., Montes, J. and Zanotto, D., 2022. Ecological validation of machine learning models for spatiotemporal gait analysis in free-living environments using instrumented insoles. IEEE Robotics and Automation Letters, 7(4), pp.10834-10841.
5. Zhang, H., Li, S., Zhao, Q., Rao, A.K., Guo, Y. and Zanotto, D., 2022. Reinforcement learning-based adaptive biofeedback engine for overground walking speed training. IEEE Robotics and Automation Letters, 7(3), pp.8487-8494.
6. Chen, Z., Zhang, H., Zaferiou, A., Zanotto, D. and Guo, Y., 2022. Mobile robot assisted gait monitoring and dynamic margin of stability estimation. IEEE Transactions on Medical Robotics and Bionics, 4(2), pp.460-471.
7. Zhang, H., Duong, T.T., Rao, A.K., Mazzoni, P., Agrawal, S.K., Guo, Y. and 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, 30, pp.124-134.
8. Zhao, Q., Chen, Z., Landis, C.D., Lytle, A., Rao, A.K., Zanotto, D. and Guo, Y., 2022. Gait monitoring for older adults during guided walking: An integrated assistive robot and wearable sensor approach. Wearable Technologies, 3, p.e28.
9. Zhang, Y., Li, S., Nolan, K.J. and Zanotto, D., 2021. Shaping individualized impedance landscapes for gait training via reinforcement learning. IEEE Transactions on Medical Robotics and Bionics, 4(1), pp.194-205.
10. Bermperidis, T., Rai, R., Ryu, J., Zanotto, D., Agrawal, S.K., Lalwani, A.K. and Torres, E.B., 2021. Optimal time lags from causal prediction model help stratify and forecast nervous system pathology. Scientific Reports, 11(1), p.20904.
11. Szeto B., Zanotto D., Lopez EM, Stafford JA, Nemer JS, Chambers AR, Agrawal SK, Lalwani AK, 2021. Hearing loss is associated with increased variability in double support period in the elderly. Sensors, 21(1), p.278.
12. Zhang, H., Yin, Y., Chen, Z., Zhang, Y., Rao, A.K., Guo, Y. and Zanotto, D., 2020. Wearable Biofeedback System to Induce Desired Walking Speed in Overground Gait Training. Sensors, 20(14), p.4002.
13. Zhang, H., Guo, Y. and Zanotto, D., 2020. Accurate ambulatory gait analysis in walking and running using machine learning models. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(1), pp.191-202.
14. Scalera, L., Gasparetto, A. and Zanotto, D., 2019. Design and experimental validation of a 3-dof underactuated pendulum-like robot. IEEE/ASME Transactions on Mechatronics, 25(1), pp.217-228.
15. Zhang, Y., Kleinmann, R.J., Nolan, K.J. and 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(1), pp.30-37.
16. Zhang, Y., Nolan, K.J. and Zanotto, D., 2018. Oscillator-based transparent control of an active/semiactive ankle-foot orthosis. IEEE Robotics and Automation Letters, 4(2), pp.247-253.
17. Passarini C, Zanotto D, Boschetti G. Dynamic trajectory planning for failure recovery in cable-suspended camera systems. ASME Journal of Mechanisms and Robotics. 2019 Apr 1;11(2).
18. Zhang, H., Zanotto, D. and Agrawal, S.K., 2017. Estimating CoP trajectories and kinematic gait parameters in walking and running using instrumented insoles. IEEE Robotics and Automation Letters, 2(4), pp.2159-2165.
19. Stegall, P., Zanotto, D. and Agrawal, S.K., 2017. Variable damping force tunnel for gait training using ALEX III. IEEE Robotics and Automation Letters, 2(3), pp.1495-1501.
20. Barbazza, L., Zanotto, D., Rosati, G. and Agrawal, S.K., 2017. Design and optimal control of an underactuated cable-driven micro–macro robot. IEEE Robotics and Automation Letters, 2(2), pp.896-903.
21. Zanotto, D., Mamuyac, E.M., Chambers, A.R., Nemer, J.S., Stafford, J.A., Agrawal, S.K. and Lalwani, A.K., 2017. Dizziness handicap inventory score is highly correlated with markers of gait disturbance. Otology & Neurotology, 38(10), pp.1490-1499.
22. Ligorio, G., Zanotto, D., Sabatini, A.M. and Agrawal, S.K., 2017. A novel functional calibration method for real-time elbow joint angles estimation with magnetic-inertial sensors. Journal of biomechanics, 54, pp.106-110.
23. Abdolshah, S., Zanotto, D., Rosati, G. and Agrawal, S.K., 2017. Optimizing stiffness and dexterity of planar adaptive cable-driven parallel robots. ASME Journal of Mechanisms and Robotics, 9(3).
24. Montes, J., Zanotto, D., Dunaway Young, S., Salazar, R., De Vivo, D.C. and Agrawal, S., 2017. Gait assessment with SoleSound instrumented footwear in spinal muscular atrophy. Muscle & nerve, 56(2), pp.230-236.
25. Youssofzadeh, V., Zanotto, D., Wong-Lin, K., Agrawal, S.K. and Prasad, G., 2016. Directed functional connectivity in fronto-centroparietal circuit correlates with motor adaptation in gait training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(11), pp.1265-1275.
26. Turchet, L., Zanotto, D., Minto, S., Roda, A. and Agrawal, S.K., 2016. Emotion rendering in plantar vibro-tactile simulations of imagined walking styles. IEEE Transactions on Affective Computing, 8(3), pp.340-354.
27. Minto, S., Zanotto, D., Boggs, E.M., Rosati, G. and Agrawal, S.K., 2015. Validation of a footwear-based gait analysis system with action-related feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(9), pp.971-980.
28. Zanotto, D., Akiyama, Y., Stegall, P. and Agrawal, S.K., 2015. Knee joint misalignment in exoskeletons for the lower extremities: Effects on user's gait. IEEE Transactions on Robotics, 31(4), pp.978-987.
29. Srivastava, S., Kao, P.C., Kim, S.H., Stegall, P., Zanotto, D., Higginson, J.S., Agrawal, S.K. and Scholz, J.P., 2014. Assist-as-needed robot-aided gait training improves walking function in individuals following stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(6), pp.956-963.
30. Shaharudin, S., Zanotto, D. and Agrawal, S., 2014. Muscle synergy during Wingate anaerobic rowing test of collegiate rowers and untrained subjects. International Journal of Sports Science, 4(5), pp.165-172.
31. Shaharudin, S., Zanotto, D. and Agrawal, S., 2014. Muscle synergies of untrained subjects during 6 min maximal rowing on slides and fixed ergometer. Journal of sports science & medicine, 13(4), p.793.
32. Zanotto, D., Rosati, G., Minto, S. and Rossi, A., 2014. Sophia-3: A semiadaptive cable-driven rehabilitation device with a tilting working plane. IEEE Transactions on Robotics, 30(4), pp.974-979.
33. Masiero, S., Poli, P., Rosati, G., Zanotto, D., Iosa, M., Paolucci, S. and Morone, G., 2014. The value of robotic systems in stroke rehabilitation. Expert review of medical devices, 11(2), pp.187-198.
34. Stegall, P., Winfree, K., Zanotto, D. and Agrawal, S.K., 2013. Rehabilitation exoskeleton design: Exploring the effect of the anterior lunge degree of freedom. IEEE Transactions on Robotics, 29(4), pp.838-846.
35. Zanotto, D., Rosati, G., Spagnol, S., Stegall, P. and Agrawal, S.K., 2013. Effects of complementary auditory feedback in robot-assisted lower extremity motor adaptation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21(5), pp.775-786.
36. Zanotto, D., Rosati, G. and Agrawal, S.K., 2013. A Higher-Order Method for Dynamic Optimization of Controllable Linear Time-Invariant Systems. Journal of Dynamic Systems, Measurement, and Control, 135(2).
37. Rosati, G., Zanotto, D. and Agrawal, S.K., 2011. On the design of adaptive cable-driven systems. Journal of mechanisms and robotics, 3(2).
REFEREED CONFERENCE PROCEEDINGS:
1. Zhao Q, Deepak R, Gebre B, Nolan KJ, Pochiraju K, Zanotto D. Gaussian Process Regression Models for On-line Ankle Moment Estimation in Exoskeleton-Assisted Walking. In: 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).
2. Eraky M, Li A, Rocha MH, et al. A Novel Personalized Ankle Exoskeleton with Co-Located SEA for Gait Training. In: 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).
3. Hernandez M, Teker A, Eraky M, Li A, Gebre B, Zanotto D, Pochiraju K. Optimized Design Workflow for Patient-Customized Composite Orthotics. In: 2024 American Society for Composites Technical Conference, US-Japan Joint Symposium.
4. Zhao, Q., Chen, Z., Landis, C.D., Lytle, A., Rao, A.K., Guo, Y. and Zanotto, D., 2022, August. Gait Analysis with an Integrated Mobile Robot and Wearable Sensor System Reveals Associations Between Cognitive Ability and Dynamic Balance in Older Adults. In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 1-6). IEEE.
5. Gibson, M.R., Boergers, R.J. and Zanotto, D., 2022, August. CyberCoach: a Wearable Biofeedback System for Runners. In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 1-6). IEEE.
6. Duong, T.T., Musacchia, L., Uher, D., Montes, J. and Zanotto, D., 2022, August. Free-living ambulatory activity classification: A comparative analysis of wrist-worn, insole-embedded, and phone-embedded sensors. In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 01-06). IEEE.
7. Duong, T.H., Uher, D., Dunaway Young, S., Duong, T., Sango, M., Cornett, K., Montes, J. and Zanotto, D., “Gaussian Process Regression for COP Trajectory Estimation in Healthy and Pathological Gait Using Instrumented Insoles”, In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
8. Gebre, B.A., Nogueira, R., Patidar, S., Belle-Isle, R., Nolan, K., Pochiraju, K. and Zanotto, D., 2021. Efficient Digital Modeling and Fabrication Workflow for Individualized Ankle Exoskeletons. In 2021 ASME International Mechanical Engineering Congress and Exposition.
9. Shuai, L. and Zanotto, D., 2021. Multi-UAV Cooperative Transportation Using Dynamic Control Allocation and a Reinforcement Learning Compensator. In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
10. Duong, T., Whittaker, D. R., Zanotto, D. 2020. An Outsole-Embedded Optoelectronic Sensor to Measure Shear Ground Reaction Forces During Locomotion. In 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE.
11. Zhang, H., Chen, Z., Zanotto, D., Y. Guo, 2020. Robot-Assisted and Wearable Sensor-Mediated Autonomous Gait Analysis. In 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE.
12. 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. In 2020 IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). IEEE.
13. Zhang, Y., Li, S., Nolan, K.J. and Zanotto, D., 2020. Reinforcement Learning Assist-as-needed Control for Robot Assisted Gait Training, In 2020 IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). IEEE.
14. Zhang, Y., Li, S., Nolan, K.J. and Zanotto, D., Adaptive Assist-as-needed Control Based on Actor-Critic Reinforcement Learning. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) pp. 4066-407 (IROS).
15. Li, S. and Zanotto, D., 2019, November. Tracking Control of Fully-Constrained Cable-Driven Parallel Robots using Adaptive Dynamic Programming. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 6781-6787).
16. Zhang, Y., Nolan, K.J. and Zanotto, D., 2019, June. Immediate effects of force feedback and plantar somatosensory stimuli on inter-limb coordination during perturbed walking. In 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) (pp. 252-257). IEEE.
17. Duong, T.T., Zhang, H., Lynch, T.S. and Zanotto, D., 2019, June. Improving the accuracy of wearable sensors for human locomotion tracking using phase-locked regression models. In 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) (pp. 145-150). IEEE.
18. Zhang, Y., Kleinmann, R.J., Nolan, K.J. and Zanotto, D., 2018, August. Design and evaluation of an active/semiactive ankle-foot orthosis for gait training. In 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) (pp. 544-549). IEEE.
19. Zhang, H., Tay, M.O., Suar, Z., Kurt, M. and Zanotto, D., 2018, August. Regression models for estimating kinematic gait parameters with instrumented footwear. In 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) (pp. 1169-1174). IEEE.
20. Chen, Y.F., Napoli, D., Agrawal, S.K. and Zanotto, D., 2018, August. Smart crutches: towards instrumented crutches for rehabilitation and exoskeletons-assisted walking. In 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) (pp. 193-198). IEEE.
21. Fürth, M., Raleigh, K., Duong, T. and Zanotto, D., 2018, June. SmartPFD: Towards an actively controlled inflatable life jacket to reduce death at sea. In Marine Design XIII, Volume 2: Proceedings of the 13th International Marine Design Conference (IMDC 2018), June 10-14, 2018, Helsinki, Finland (p. 737). CRC Press.
22. Abdolshah, S., Zanotto, D., Rosati, G. and Agrawal, S., 2017, May. Performance evaluation of a new design of cable-suspended camera system. In 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3728-3733). IEEE.
23. Youssofzadeh, V., Zanotto, D., Stegall, P., Naeem, M., Wong-Lin, K., Agrawal, S.K. and Prasad, G., 2014, August. Directed neural connectivity changes in robot-assisted gait training: a partial Granger causality analysis. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 6361-6364). IEEE.
24. Zanotto, D., Stegall, P. and Agrawal, S.K., 2014, May. Adaptive assist-as-needed controller to improve gait symmetry in robot-assisted gait training. In 2014 IEEE international conference on robotics and automation (ICRA) (pp. 724-729). IEEE.
25. Lenzo, B., Zanotto, D., Vashista, V., Frisoli, A. and Agrawal, S., 2014, May. A new Constant Pushing Force Device for human walking analysis. In 2014 IEEE International Conference on Robotics and Automation (ICRA) (pp. 6174-6179). IEEE.
26. Zanotto, D., Turchet, L., Boggs, E.M. and Agrawal, S.K., 2014, August. SoleSound: Towards a novel portable system for audio-tactile underfoot feedback. In 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (pp. 193-198). IEEE.
27. Park, J.H., Zanotto, D., Vashista, V., Jin, X., Stegall, P. and Agrawal, S.K., 2014, August. Second Spine: a Device to relieve stresses on the upper body during loaded walking. In 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (pp. 689-694). IEEE.
28. Park, J.H., Stegall, P., Zanotto, D., Vashista, V., Jin, X. and Agrawal, S.K., 2013, August. Design of the second spine: A secondary pathway to transfer loads from the shoulders to the pelvis. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 55942, p. V06BT07A008). American Society of Mechanical Engineers.
29. Zanotto, D., Lenzi, T., Stegall, P. and Agrawal, S.K., 2013, June. Improving transparency of powered exoskeletons using force/torque sensors on the supporting cuffs. In 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR) (pp. 1-6). IEEE.
30. Zanotto, D., Stegall, P. and Agrawal, S.K., 2013, May. ALEX III: A novel robotic platform with 12 DOFs for human gait training. In 2013 IEEE International Conference on Robotics and Automation (pp. 3914-3919). IEEE.
31. Lenzi, T., Zanotto, D., Stegall, P., Carrozza, M.C. and Agrawal, S.K., 2012, September. Reducing muscle effort in walking through powered exoskeletons. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3926-3929). IEEE.
32. Zanotto, D., Rosati, G., Avanzini, F., Stegall, P. and Agrawal, S.K., 2012, June. Robot-assisted gait training with complementary auditory feedback: Results on short-term motor adaptation. In 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) (pp. 1388-1393). IEEE.
33. Zanotto, D., Agrawal, S.K. and Rosati, G., 2011, January. A Higher-Order Method for Dynamic Optimization of Controllable LTI Systems. In Dynamic Systems and Control Conference (Vol. 54754, pp. 613-620).
34. Zanotto, D., Rosati, G. and Agrawal, S.K., 2011, May. Modeling and control of a 3-DOF pendulum-like manipulator. In 2011 IEEE International Conference on Robotics and Automation (pp. 3964-3969). IEEE.
35. Zanotto, D., Rosati, G. and Rossi, A., 2010, January. Performance analysis of planar cable-based parallel manipulators. In Engineering Systems Design and Analysis (Vol. 49170, pp. 789-798).
36. Cenci, S., Rosati, G., Zanotto, D., Oscari, F. and Rossi, A., 2010, January. First test results of a haptic tele-operation system to enhance stability of telescopic handlers. In Engineering Systems Design and Analysis (Vol. 49170, pp. 907-914).
37. Rosati, G., Zanotto, D., Secoli, R. and Rossi, A., 2009, June. Design and control of two planar cable-driven robots for upper-limb neurorehabilitation. In 2009 IEEE International Conference on Rehabilitation Robotics (pp. 560-565). IEEE.
38. Rosati, G., Cenci, S., Boschetti, G., Zanotto, D. and Masiero, S., 2009, June. Design of a single-dof active hand orthosis for neurorehabilitation. In 2009 IEEE International Conference on Rehabilitation Robotics (pp. 161-166). IEEE.
39. Rosati, G., Zanotto, D. and Rossi, A., 2008, January. Performance assessment of a 3d cable-driven haptic device. In ASME International Mechanical Engineering Congress and Exposition (Vol. 48739, pp. 597-606).
40. Rosati, G. and Zanotto, D., 2008, January. A novel perspective in the design of cable-driven systems. In ASME International Mechanical Engineering Congress and Exposition (Vol. 48739, pp. 617-625).
41. Rosati, G., Secoli, R., Zanotto, D., Rossi, A. and Boschetti, G., 2008, January. Planar robotic systems for upper-limb post-stroke rehabilitation. In ASME international mechanical engineering congress and exposition (Vol. 48630, pp. 115-124).
BOOK CHAPTERS:
1. Fraize, J., Furth, M. and Zanotto, D., 2018, Design and Preliminary Validation of a Smart Personal Flotation Device. In: Carrozza M., Micera S., Pons J. (eds) Wearable Robotics: Challenges and Trends. WeRob 2018. Biosystems & Biorobotics, vol 22. Springer, Cham.
2. Boschetti, G., Passarini, C., Trevisani, A. and Zanotto, D., 2018. A fast algorithm for wrench exertion capability computation. In Cable-Driven Parallel Robots (pp. 292-303). Springer, Cham.
3. Mamuyac, E.M., Zanotto, D., Rao, A.K., Agrawal, S.K. and Lalwani, A.K., 2017. Gait Disturbance in the Elderly. Recent Advances in Otolaryngology Head & Neck Surgery: Volume 6, 6, p.57.
4. Barbazza, L., Zanotto, D., Rosati, G. and Agrawal, S.K., 2017. Optimal design of a reconfigurable end-effector for cable-suspended parallel robots. In Advances in Italian mechanism science (pp. 267-275). Springer, Cham.
1. S. Li, T. T. H. Duong and D. Zanotto, "In-Flight Cable Length Control for Improved Quadrotor-Based Suspended Load Transportation," in IEEE Robotics and Automation Letters, vol. 9, no. 1, pp. 667-674, Jan. 2024
2. Duong, T.T., Uher, D., Dunaway Young, S., Farooquee, R., Druffner, A., Pasternak, C., Kanner, C., Fragala-Pinkham, M., Montes, J. and Zanotto, D., 2023. Accurate COP Trajectory Estimation in Healthy and Pathological Gait Using Multimodal Instrumented Insoles and Deep Learning Models, in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 4801-4811, 2023.
3. Leong, S., Teh, B.M., Duong, T., Hu, D., Chui, A., Chen, J.S., Sisti, M.B., Wang, T.J., Zanotto, D. and Lalwani, A.K., 2023. Instrumented insoles for assessment of gait in patients with vestibular schwannoma. Wearable Technologies, 4, p.e14.
4. Duong, T.T., Uher, D., Montes, J. and Zanotto, D., 2022. Ecological validation of machine learning models for spatiotemporal gait analysis in free-living environments using instrumented insoles. IEEE Robotics and Automation Letters, 7(4), pp.10834-10841.
5. Zhang, H., Li, S., Zhao, Q., Rao, A.K., Guo, Y. and Zanotto, D., 2022. Reinforcement learning-based adaptive biofeedback engine for overground walking speed training. IEEE Robotics and Automation Letters, 7(3), pp.8487-8494.
6. Chen, Z., Zhang, H., Zaferiou, A., Zanotto, D. and Guo, Y., 2022. Mobile robot assisted gait monitoring and dynamic margin of stability estimation. IEEE Transactions on Medical Robotics and Bionics, 4(2), pp.460-471.
7. Zhang, H., Duong, T.T., Rao, A.K., Mazzoni, P., Agrawal, S.K., Guo, Y. and 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, 30, pp.124-134.
8. Zhao, Q., Chen, Z., Landis, C.D., Lytle, A., Rao, A.K., Zanotto, D. and Guo, Y., 2022. Gait monitoring for older adults during guided walking: An integrated assistive robot and wearable sensor approach. Wearable Technologies, 3, p.e28.
9. Zhang, Y., Li, S., Nolan, K.J. and Zanotto, D., 2021. Shaping individualized impedance landscapes for gait training via reinforcement learning. IEEE Transactions on Medical Robotics and Bionics, 4(1), pp.194-205.
10. Bermperidis, T., Rai, R., Ryu, J., Zanotto, D., Agrawal, S.K., Lalwani, A.K. and Torres, E.B., 2021. Optimal time lags from causal prediction model help stratify and forecast nervous system pathology. Scientific Reports, 11(1), p.20904.
11. Szeto B., Zanotto D., Lopez EM, Stafford JA, Nemer JS, Chambers AR, Agrawal SK, Lalwani AK, 2021. Hearing loss is associated with increased variability in double support period in the elderly. Sensors, 21(1), p.278.
12. Zhang, H., Yin, Y., Chen, Z., Zhang, Y., Rao, A.K., Guo, Y. and Zanotto, D., 2020. Wearable Biofeedback System to Induce Desired Walking Speed in Overground Gait Training. Sensors, 20(14), p.4002.
13. Zhang, H., Guo, Y. and Zanotto, D., 2020. Accurate ambulatory gait analysis in walking and running using machine learning models. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(1), pp.191-202.
14. Scalera, L., Gasparetto, A. and Zanotto, D., 2019. Design and experimental validation of a 3-dof underactuated pendulum-like robot. IEEE/ASME Transactions on Mechatronics, 25(1), pp.217-228.
15. Zhang, Y., Kleinmann, R.J., Nolan, K.J. and 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(1), pp.30-37.
16. Zhang, Y., Nolan, K.J. and Zanotto, D., 2018. Oscillator-based transparent control of an active/semiactive ankle-foot orthosis. IEEE Robotics and Automation Letters, 4(2), pp.247-253.
17. Passarini C, Zanotto D, Boschetti G. Dynamic trajectory planning for failure recovery in cable-suspended camera systems. ASME Journal of Mechanisms and Robotics. 2019 Apr 1;11(2).
18. Zhang, H., Zanotto, D. and Agrawal, S.K., 2017. Estimating CoP trajectories and kinematic gait parameters in walking and running using instrumented insoles. IEEE Robotics and Automation Letters, 2(4), pp.2159-2165.
19. Stegall, P., Zanotto, D. and Agrawal, S.K., 2017. Variable damping force tunnel for gait training using ALEX III. IEEE Robotics and Automation Letters, 2(3), pp.1495-1501.
20. Barbazza, L., Zanotto, D., Rosati, G. and Agrawal, S.K., 2017. Design and optimal control of an underactuated cable-driven micro–macro robot. IEEE Robotics and Automation Letters, 2(2), pp.896-903.
21. Zanotto, D., Mamuyac, E.M., Chambers, A.R., Nemer, J.S., Stafford, J.A., Agrawal, S.K. and Lalwani, A.K., 2017. Dizziness handicap inventory score is highly correlated with markers of gait disturbance. Otology & Neurotology, 38(10), pp.1490-1499.
22. Ligorio, G., Zanotto, D., Sabatini, A.M. and Agrawal, S.K., 2017. A novel functional calibration method for real-time elbow joint angles estimation with magnetic-inertial sensors. Journal of biomechanics, 54, pp.106-110.
23. Abdolshah, S., Zanotto, D., Rosati, G. and Agrawal, S.K., 2017. Optimizing stiffness and dexterity of planar adaptive cable-driven parallel robots. ASME Journal of Mechanisms and Robotics, 9(3).
24. Montes, J., Zanotto, D., Dunaway Young, S., Salazar, R., De Vivo, D.C. and Agrawal, S., 2017. Gait assessment with SoleSound instrumented footwear in spinal muscular atrophy. Muscle & nerve, 56(2), pp.230-236.
25. Youssofzadeh, V., Zanotto, D., Wong-Lin, K., Agrawal, S.K. and Prasad, G., 2016. Directed functional connectivity in fronto-centroparietal circuit correlates with motor adaptation in gait training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(11), pp.1265-1275.
26. Turchet, L., Zanotto, D., Minto, S., Roda, A. and Agrawal, S.K., 2016. Emotion rendering in plantar vibro-tactile simulations of imagined walking styles. IEEE Transactions on Affective Computing, 8(3), pp.340-354.
27. Minto, S., Zanotto, D., Boggs, E.M., Rosati, G. and Agrawal, S.K., 2015. Validation of a footwear-based gait analysis system with action-related feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(9), pp.971-980.
28. Zanotto, D., Akiyama, Y., Stegall, P. and Agrawal, S.K., 2015. Knee joint misalignment in exoskeletons for the lower extremities: Effects on user's gait. IEEE Transactions on Robotics, 31(4), pp.978-987.
29. Srivastava, S., Kao, P.C., Kim, S.H., Stegall, P., Zanotto, D., Higginson, J.S., Agrawal, S.K. and Scholz, J.P., 2014. Assist-as-needed robot-aided gait training improves walking function in individuals following stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(6), pp.956-963.
30. Shaharudin, S., Zanotto, D. and Agrawal, S., 2014. Muscle synergy during Wingate anaerobic rowing test of collegiate rowers and untrained subjects. International Journal of Sports Science, 4(5), pp.165-172.
31. Shaharudin, S., Zanotto, D. and Agrawal, S., 2014. Muscle synergies of untrained subjects during 6 min maximal rowing on slides and fixed ergometer. Journal of sports science & medicine, 13(4), p.793.
32. Zanotto, D., Rosati, G., Minto, S. and Rossi, A., 2014. Sophia-3: A semiadaptive cable-driven rehabilitation device with a tilting working plane. IEEE Transactions on Robotics, 30(4), pp.974-979.
33. Masiero, S., Poli, P., Rosati, G., Zanotto, D., Iosa, M., Paolucci, S. and Morone, G., 2014. The value of robotic systems in stroke rehabilitation. Expert review of medical devices, 11(2), pp.187-198.
34. Stegall, P., Winfree, K., Zanotto, D. and Agrawal, S.K., 2013. Rehabilitation exoskeleton design: Exploring the effect of the anterior lunge degree of freedom. IEEE Transactions on Robotics, 29(4), pp.838-846.
35. Zanotto, D., Rosati, G., Spagnol, S., Stegall, P. and Agrawal, S.K., 2013. Effects of complementary auditory feedback in robot-assisted lower extremity motor adaptation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21(5), pp.775-786.
36. Zanotto, D., Rosati, G. and Agrawal, S.K., 2013. A Higher-Order Method for Dynamic Optimization of Controllable Linear Time-Invariant Systems. Journal of Dynamic Systems, Measurement, and Control, 135(2).
37. Rosati, G., Zanotto, D. and Agrawal, S.K., 2011. On the design of adaptive cable-driven systems. Journal of mechanisms and robotics, 3(2).
REFEREED CONFERENCE PROCEEDINGS:
1. Zhao Q, Deepak R, Gebre B, Nolan KJ, Pochiraju K, Zanotto D. Gaussian Process Regression Models for On-line Ankle Moment Estimation in Exoskeleton-Assisted Walking. In: 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).
2. Eraky M, Li A, Rocha MH, et al. A Novel Personalized Ankle Exoskeleton with Co-Located SEA for Gait Training. In: 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).
3. Hernandez M, Teker A, Eraky M, Li A, Gebre B, Zanotto D, Pochiraju K. Optimized Design Workflow for Patient-Customized Composite Orthotics. In: 2024 American Society for Composites Technical Conference, US-Japan Joint Symposium.
4. Zhao, Q., Chen, Z., Landis, C.D., Lytle, A., Rao, A.K., Guo, Y. and Zanotto, D., 2022, August. Gait Analysis with an Integrated Mobile Robot and Wearable Sensor System Reveals Associations Between Cognitive Ability and Dynamic Balance in Older Adults. In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 1-6). IEEE.
5. Gibson, M.R., Boergers, R.J. and Zanotto, D., 2022, August. CyberCoach: a Wearable Biofeedback System for Runners. In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 1-6). IEEE.
6. Duong, T.T., Musacchia, L., Uher, D., Montes, J. and Zanotto, D., 2022, August. Free-living ambulatory activity classification: A comparative analysis of wrist-worn, insole-embedded, and phone-embedded sensors. In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 01-06). IEEE.
7. Duong, T.H., Uher, D., Dunaway Young, S., Duong, T., Sango, M., Cornett, K., Montes, J. and Zanotto, D., “Gaussian Process Regression for COP Trajectory Estimation in Healthy and Pathological Gait Using Instrumented Insoles”, In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
8. Gebre, B.A., Nogueira, R., Patidar, S., Belle-Isle, R., Nolan, K., Pochiraju, K. and Zanotto, D., 2021. Efficient Digital Modeling and Fabrication Workflow for Individualized Ankle Exoskeletons. In 2021 ASME International Mechanical Engineering Congress and Exposition.
9. Shuai, L. and Zanotto, D., 2021. Multi-UAV Cooperative Transportation Using Dynamic Control Allocation and a Reinforcement Learning Compensator. In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
10. Duong, T., Whittaker, D. R., Zanotto, D. 2020. An Outsole-Embedded Optoelectronic Sensor to Measure Shear Ground Reaction Forces During Locomotion. In 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE.
11. Zhang, H., Chen, Z., Zanotto, D., Y. Guo, 2020. Robot-Assisted and Wearable Sensor-Mediated Autonomous Gait Analysis. In 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE.
12. 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. In 2020 IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). IEEE.
13. Zhang, Y., Li, S., Nolan, K.J. and Zanotto, D., 2020. Reinforcement Learning Assist-as-needed Control for Robot Assisted Gait Training, In 2020 IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). IEEE.
14. Zhang, Y., Li, S., Nolan, K.J. and Zanotto, D., Adaptive Assist-as-needed Control Based on Actor-Critic Reinforcement Learning. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) pp. 4066-407 (IROS).
15. Li, S. and Zanotto, D., 2019, November. Tracking Control of Fully-Constrained Cable-Driven Parallel Robots using Adaptive Dynamic Programming. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 6781-6787).
16. Zhang, Y., Nolan, K.J. and Zanotto, D., 2019, June. Immediate effects of force feedback and plantar somatosensory stimuli on inter-limb coordination during perturbed walking. In 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) (pp. 252-257). IEEE.
17. Duong, T.T., Zhang, H., Lynch, T.S. and Zanotto, D., 2019, June. Improving the accuracy of wearable sensors for human locomotion tracking using phase-locked regression models. In 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) (pp. 145-150). IEEE.
18. Zhang, Y., Kleinmann, R.J., Nolan, K.J. and Zanotto, D., 2018, August. Design and evaluation of an active/semiactive ankle-foot orthosis for gait training. In 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) (pp. 544-549). IEEE.
19. Zhang, H., Tay, M.O., Suar, Z., Kurt, M. and Zanotto, D., 2018, August. Regression models for estimating kinematic gait parameters with instrumented footwear. In 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) (pp. 1169-1174). IEEE.
20. Chen, Y.F., Napoli, D., Agrawal, S.K. and Zanotto, D., 2018, August. Smart crutches: towards instrumented crutches for rehabilitation and exoskeletons-assisted walking. In 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) (pp. 193-198). IEEE.
21. Fürth, M., Raleigh, K., Duong, T. and Zanotto, D., 2018, June. SmartPFD: Towards an actively controlled inflatable life jacket to reduce death at sea. In Marine Design XIII, Volume 2: Proceedings of the 13th International Marine Design Conference (IMDC 2018), June 10-14, 2018, Helsinki, Finland (p. 737). CRC Press.
22. Abdolshah, S., Zanotto, D., Rosati, G. and Agrawal, S., 2017, May. Performance evaluation of a new design of cable-suspended camera system. In 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3728-3733). IEEE.
23. Youssofzadeh, V., Zanotto, D., Stegall, P., Naeem, M., Wong-Lin, K., Agrawal, S.K. and Prasad, G., 2014, August. Directed neural connectivity changes in robot-assisted gait training: a partial Granger causality analysis. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 6361-6364). IEEE.
24. Zanotto, D., Stegall, P. and Agrawal, S.K., 2014, May. Adaptive assist-as-needed controller to improve gait symmetry in robot-assisted gait training. In 2014 IEEE international conference on robotics and automation (ICRA) (pp. 724-729). IEEE.
25. Lenzo, B., Zanotto, D., Vashista, V., Frisoli, A. and Agrawal, S., 2014, May. A new Constant Pushing Force Device for human walking analysis. In 2014 IEEE International Conference on Robotics and Automation (ICRA) (pp. 6174-6179). IEEE.
26. Zanotto, D., Turchet, L., Boggs, E.M. and Agrawal, S.K., 2014, August. SoleSound: Towards a novel portable system for audio-tactile underfoot feedback. In 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (pp. 193-198). IEEE.
27. Park, J.H., Zanotto, D., Vashista, V., Jin, X., Stegall, P. and Agrawal, S.K., 2014, August. Second Spine: a Device to relieve stresses on the upper body during loaded walking. In 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (pp. 689-694). IEEE.
28. Park, J.H., Stegall, P., Zanotto, D., Vashista, V., Jin, X. and Agrawal, S.K., 2013, August. Design of the second spine: A secondary pathway to transfer loads from the shoulders to the pelvis. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 55942, p. V06BT07A008). American Society of Mechanical Engineers.
29. Zanotto, D., Lenzi, T., Stegall, P. and Agrawal, S.K., 2013, June. Improving transparency of powered exoskeletons using force/torque sensors on the supporting cuffs. In 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR) (pp. 1-6). IEEE.
30. Zanotto, D., Stegall, P. and Agrawal, S.K., 2013, May. ALEX III: A novel robotic platform with 12 DOFs for human gait training. In 2013 IEEE International Conference on Robotics and Automation (pp. 3914-3919). IEEE.
31. Lenzi, T., Zanotto, D., Stegall, P., Carrozza, M.C. and Agrawal, S.K., 2012, September. Reducing muscle effort in walking through powered exoskeletons. In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3926-3929). IEEE.
32. Zanotto, D., Rosati, G., Avanzini, F., Stegall, P. and Agrawal, S.K., 2012, June. Robot-assisted gait training with complementary auditory feedback: Results on short-term motor adaptation. In 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) (pp. 1388-1393). IEEE.
33. Zanotto, D., Agrawal, S.K. and Rosati, G., 2011, January. A Higher-Order Method for Dynamic Optimization of Controllable LTI Systems. In Dynamic Systems and Control Conference (Vol. 54754, pp. 613-620).
34. Zanotto, D., Rosati, G. and Agrawal, S.K., 2011, May. Modeling and control of a 3-DOF pendulum-like manipulator. In 2011 IEEE International Conference on Robotics and Automation (pp. 3964-3969). IEEE.
35. Zanotto, D., Rosati, G. and Rossi, A., 2010, January. Performance analysis of planar cable-based parallel manipulators. In Engineering Systems Design and Analysis (Vol. 49170, pp. 789-798).
36. Cenci, S., Rosati, G., Zanotto, D., Oscari, F. and Rossi, A., 2010, January. First test results of a haptic tele-operation system to enhance stability of telescopic handlers. In Engineering Systems Design and Analysis (Vol. 49170, pp. 907-914).
37. Rosati, G., Zanotto, D., Secoli, R. and Rossi, A., 2009, June. Design and control of two planar cable-driven robots for upper-limb neurorehabilitation. In 2009 IEEE International Conference on Rehabilitation Robotics (pp. 560-565). IEEE.
38. Rosati, G., Cenci, S., Boschetti, G., Zanotto, D. and Masiero, S., 2009, June. Design of a single-dof active hand orthosis for neurorehabilitation. In 2009 IEEE International Conference on Rehabilitation Robotics (pp. 161-166). IEEE.
39. Rosati, G., Zanotto, D. and Rossi, A., 2008, January. Performance assessment of a 3d cable-driven haptic device. In ASME International Mechanical Engineering Congress and Exposition (Vol. 48739, pp. 597-606).
40. Rosati, G. and Zanotto, D., 2008, January. A novel perspective in the design of cable-driven systems. In ASME International Mechanical Engineering Congress and Exposition (Vol. 48739, pp. 617-625).
41. Rosati, G., Secoli, R., Zanotto, D., Rossi, A. and Boschetti, G., 2008, January. Planar robotic systems for upper-limb post-stroke rehabilitation. In ASME international mechanical engineering congress and exposition (Vol. 48630, pp. 115-124).
BOOK CHAPTERS:
1. Fraize, J., Furth, M. and Zanotto, D., 2018, Design and Preliminary Validation of a Smart Personal Flotation Device. In: Carrozza M., Micera S., Pons J. (eds) Wearable Robotics: Challenges and Trends. WeRob 2018. Biosystems & Biorobotics, vol 22. Springer, Cham.
2. Boschetti, G., Passarini, C., Trevisani, A. and Zanotto, D., 2018. A fast algorithm for wrench exertion capability computation. In Cable-Driven Parallel Robots (pp. 292-303). Springer, Cham.
3. Mamuyac, E.M., Zanotto, D., Rao, A.K., Agrawal, S.K. and Lalwani, A.K., 2017. Gait Disturbance in the Elderly. Recent Advances in Otolaryngology Head & Neck Surgery: Volume 6, 6, p.57.
4. Barbazza, L., Zanotto, D., Rosati, G. and Agrawal, S.K., 2017. Optimal design of a reconfigurable end-effector for cable-suspended parallel robots. In Advances in Italian mechanism science (pp. 267-275). Springer, Cham.
Courses
• ME-960, Research in Mechanical Engineering
• ME-900, Thesis in Mechanical Engineering
• ME-800, Special Problems in Mechanical Engineering
• ME-655 (BME-656), Wearable Robotics and Sensors
• ME-654, Advanced Robotics
• ME-651, Analytic Dynamics
• ME-483, Control Systems
• ME-464, Research in Mechanical Engineering II
• ME-463, Research in Mechanical Engineering I
• ME-401, Special Problems in Mechanical Engineering
• ME-900, Thesis in Mechanical Engineering
• ME-800, Special Problems in Mechanical Engineering
• ME-655 (BME-656), Wearable Robotics and Sensors
• ME-654, Advanced Robotics
• ME-651, Analytic Dynamics
• ME-483, Control Systems
• ME-464, Research in Mechanical Engineering II
• ME-463, Research in Mechanical Engineering I
• ME-401, Special Problems in Mechanical Engineering