Navid Aghasadeghi


I received my B.S. in Electrical and Computer Engineering from the University of Texas at Austin in 2008 and my M.S. in the same field in 2010 from the University of Illinois at Urbana-Champaign. I am currently a Ph.D. student in the Electrical Engineering department at the University of Illinois at Urbana-Champaign where I work with Dr. Tim Bretl. I also collaborate with Dr. Eric Perreault and Dr. Levi Hargrove at the Rehabilitation Institute of Chicago. My PhD degree is supported by the NRSA predoctoral fellowship from the National Institute of Health.

Research Interests

My interests lie in robotics, control theory and machine learning with applications to building intelligent systems and robots. In particular, I am interested in using mathematical tools along with principles from neuroscience to model human perception and decision-making and subsequently design efficient and robust software systems and control algorithms for prosthetic devices and robotic systems.


N. Aghasadeghi, H. Zhao, L. J. Hargrove, A. D. Ames, E. J. Perreault and T. Bretl, “Automating Controller Parameter Tuning for Lower-Limb Prosthetic Devices”, in preparation for IEEE Transactions on Biomedical Engineering.

J. DeGol, D. Hanley, N. Aghasadeghi and T. Bretl, "A Passive Gripper Mechanism for Relocating Cameras with a Quadrotor on a Construction Site", submitted to IEEE Int. Conf. on Robotics and Automation (ICRA) 2015.

N. Aghasadeghi and T. Bretl, “Inverse Optimal Control for Differentially Flat Systems with Application to Locomotion Modeling”, IEEE Int. Conf. on Robotics and Automation (ICRA) 2014.

A. Akhtar, N. Aghasadeghi, L. Hargrove and T. Bretl, “Prediction of Distal Arm Joint Angles from EMG and Shoulder Orientation for Prosthesis Control”, in preparation for IEEE Transactions on Biomedical Engineering.

M. Johnson, N. Aghasadeghi, and T. Bretl, “Inverse optimal control for deterministic continuous-time nonlinear systems”, IEEE Int. Conf. on Decision and Control (CDC) 2013.

N. Aghasadeghi, H. Zhao, L. J. Hargrove, A. D. Ames, E. J. Perreault and T. Bretl, “Learning Impedance Controller Parameters for Lower-Limb Prostheses”, IEEE International Conference onIntelligent Robots and Systems (IROS), 2013, accepted for publication.

N. Aghasadeghi, A. Long and T. Bretl, “Inverse Optimal Control for a Hybrid Dynamical System with Impacts”, IEEE International Conference on Robotics and Automation (ICRA), May. 2012.

R. Ma, N. Aghasadeghi, J. Jarzebowski, T. Bretl and T. Coleman, “A Stochastic Control Approach to Optimally Designing Hierarchical Flash Sets in P300 Communication Prostheses”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), vol. 20, no. 1, January 2012.

N. Aghasadeghi and T. Bretl, “Maximum Entropy Inverse Reinforcement Learning in Continuous State Spaces with Path Integrals”, IEEE International Conference onIntelligent Robots and Systems (IROS), Oct. 2011.

M. Nassar, K. Gulati, A. K. Sujeeth, N. Aghasadeghi, B. L. Evans and K. R. Tinsley, “Mitigating Near-Field Interference in Laptop Embedded Wireless Transceivers”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2008.


Clinical performance of learned prosthetic controller for flat-ground locomotion via learning by demonstration

Clinical performance of prosthetic controller for stair-ascent learned using inverse optimal control

In the News

WCIA Evening News

the Orthotics & Prosthetics EDGE trade publication

University of Illinois at Urbana Champaign – College of Engineering, Electrical and Computer Engineering Department and the Coordinated Science Laboratory

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