Siavash Rezazadeh

Assistant Professor

Faculty

siavash.rezazadeh@du.edu

303-871-6587 (Office)

http://mysite.du.edu/~srezazad/

Personal

Engineering & Computer Science, 2155 East Wesley Avenue Denver, CO 80208

Specialization(s)

Dynamics, Control, Robotics, Optimization

Degree(s)

Ph.D., Mechanical Engineering, University of Alberta, 2012
MS, Mechanical Engineering, Sharif University of Technology, 2004
BS, Mechanical Engineering, Sharif University of Technology, 2001

Research

My research is is general about using fundamental concepts of mechanics for design and control of novel robots and mechanisms. More specifically, I am focused on design and control of robotic legs for maximum efficiency, stability and robustness. In this way, I extensively use tools such as optimization, nonlinear control theory, and biomechanics to achieve novel hardware designs and control paradigms.

Featured Publications

Rezazadeh, S., & Hurst, J. W. (2020). Control of ATRIAS in three dimensions: Walking as a forced-oscillation problem. The International Journal of Robotics Research, 39(7), 774-796. Retrieved from https://doi.org/10.1177/0278364920916777

Kumar, S., Mohammadi, A., Quintero, D., Rezazadeh, S., Gans, N., & Gregg, R. D. (2020). Extremum seeking control for model-free auto-tuning of powered prosthetic legs. IEEE Transactions on Control Systems Technology, 28(6), 2120-2135. Retrieved from https://doi.org/10.1109/tcst.2019.2928514

Rezazadeh, S., Quintero, D., Divekar, N., Reznick, E., Gray, L., & Gregg, R. D. (2019). A phase variable approach for improved rhythmic and non-rhythmic control of a powered knee-ankle prosthesis. IEEE Access, 7, 109840-109855. Retrieved from https://doi.org/10.1109/access.2019.2933614

Bolivar Nieto, E. A., Rezazadeh, S., & Gregg, R. D. (2019). Minimizing energy consumption and peak power of series elastic actuators: A convex optimization framework for elastic element design. IEEE/ASME Transactions on Mechatronics, 24(3), 1334-1345. Retrieved from https://doi.org/10.1109/tmech.2019.2906887

Quintero, D., Reznick, E., Lambert, D. J., Rezazadeh, S., Gray, L., & Gregg, R. D. (2018). Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case Study. IEEE Journal of Translational Engineering in Health and Medicine, 6, 1-9. Retrieved from http://dx.doi.org/10.1109/jtehm.2018.2880199

Rezazadeh, S., Abate, A., Hatton, R. L., & Hurst, J. W. (2018). Robot Leg Design: A Constructive Framework. IEEE Access, 6, 54369-54387. Retrieved from http://dx.doi.org/10.1109/access.2018.2870291

Hubicki, C., Abate, A., Clary, P., Rezazadeh, S., Jones, M., Peekema, A., et al. (2018). Walking and Running with Passive Compliance. IEEE ROBOTICS & AUTOMATION MAGAZINE, 25(3), 23-39.

Elery, T., Rezazadeh, S., Nesler, C., Doan, J., Zhu, H., & Gregg, R. D. (2018). Design and Benchtop Validation of a Powered Knee-Ankle Prosthesis with High-Torque, Low-Impedance Actuators. 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE. Retrieved from http://dx.doi.org/10.1109/icra.2018.8461259

Rezazadeh, S., Hubicki, C., Jones, M., Peekema, A., Van Why, J., Abate, A., & Hurst, J. (2015). Spring-Mass Walking With ATRIAS in 3D: Robust Gait Control Spanning Zero to 4.3 KPH on a Heavily Underactuated Bipedal Robot. Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems. American Society of Mechanical Engineers. Retrieved from http://dx.doi.org/10.1115/dscc2015-9899

Rezazadeh, S., & Hurst, J. W. (2014). On the optimal selection of motors and transmissions for electromechanical and robotic systems. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE. Retrieved from http://dx.doi.org/10.1109/iros.2014.6943215