Jonathan Realmuto
Assistant Professor
Department of Mechanical Engineering
University of California, Riverside
Email: jonathan.realmuto@ucr.edu




Overview

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.


Education

PhD Mechanical Engineering, University of Washington, Sep 2017

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


Selected Publications

A robotic forearm orthosis using soft fabric-based helical actuators.
J. Realmuto, and T. Sanger.
IEEE International Conference on Soft Robotics (RoboSoft). IEEE, 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). IEEE, 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.
Design of Medical Devices Conference. ASME, 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). IEEE, 2016.

Nonlinear passive cam-based springs for powered ankle prostheses.
J. Realmuto, G. Klute, and S. Devasia.
Journal of Medical Devices 9(1), 2015.

Full publication list: Google Scholar



Teaching

  • ME221: Kinematics and Dynamics of Robotics
    Fall 2021

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