Jonathan Realmuto
Assistant Professor
Department of Mechanical Engineering
University of California, Riverside


My research focuses on developing theoretical and engineering principles for human-robot systems with applications towards restoring and enhancing human mobility and perception. Together with my research group, the Bionic Systems Laboratory, we design, build, and experimentally test wearable and assistive robots, active prostheses and orthoses, neuroprostheses, and collaborative robots.


PhD Mechanical Engineering, University of Washington, Sep 2017

BS Mechanical Engineering, University of Nevada, Las Vegas, Jun 2010

Selected Publications

A data-driven and personalized stance symmetry controller for robotic ankle-foot prostheses: a preliminary investigation
C. Prasanna, J. Realmuto, A. Anderson, E. Rombokas, and G. Klute.
IEEE Transactions Neural Systems and Rehabilitation Engineering, 2023.

Using deep learning models to predict prosthetic ankle torque.
C. Prasanna, J. Realmuto, A. Anderson, E. Rombokas, and G. Klute.
Sensors, 2023.

Modeling deep brain stimulation evoked responses with phase oscillator networks.
J. Realmuto, J. Vidmark, and T. Sanger.
EMBS Conference on Neural Engineering (NER), 2023.

Design and testing of a sew-free origami mask for improvised respiratory protection.
J. Realmuto, M.T. Kleinman, T. Sanger, M.J. Lawler, and J.N. Smith
Nano, 2023.

Assisting forearm function in children with movement disorders via a soft wearable robot with equilibrium-point control.
J. Realmuto, and T. Sanger.
Frontiers in Robotics and AI, 2022.

Personalizing user engagement dynamics in a non-verbal communication game for cerebral palsy.
N. Dennler, C. Yunis, J. Realmuto, T. Sanger, S. Nikolaidis, and M. Mataric
IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), 2021.

A robotic forearm orthosis using soft fabric-based helical actuators.
J. Realmuto, and T. Sanger.
IEEE International Conference on Soft Robotics (RoboSoft), 2019.
Best Paper Finalist

Preliminary investigation of symmetry learning control for powered ankle-foot prostheses.
J. Realmuto, G. Klute, and S. Devasia.
Wearable Robotics Association Conference (WearRAcon), 2019.

Data-Inferred human-robot models for iterative collaborative output tracking.
J. Realmuto, R. Warren, and S. Devasia.
Journal of Intelligent & Robotic Systems, 2018.
Invited Paper

A lower limb prosthesis haptic feedback system for stair descent.
A. Sie, J. Realmuto, and E. Rombokus.
ASME Design of Medical Devices Conference, 2017.

Iterative learning control for human-robot collaborative output tracking.
J. Realmuto, R. Warren, and S. Devasia.
IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), 2016.

Nonlinear passive cam-based springs for powered ankle prostheses.
J. Realmuto, G. Klute, and S. Devasia.
Journal of Medical Devices, 2015.

Full publication list: Google Scholar


  • ME170b: Experimental Techniques
    Winter 2023, Winter 2024

  • ME133: Introduction to Mechatronics
    Winter 2022, Winter 2023

  • ME221: Kinematics and Dynamics of Robotics
    Fall 2021, Fall 2022

  • BIOE/ME445: Introduction to Biomechanics (at University of Washington)
    Spring 2016