Summary
Jonathan Realmuto is an assistant professor and robotics researcher with 11 years of experience developing wearable and assistive robots, active prostheses/orthoses, and neuroprostheses. He combines deep academic training (PhD in Mechanical Engineering) with hands-on prototyping and control systems work, from soft actuators for pediatric upper-limb rehabilitation to powered lower-limb prostheses with real-time embedded control and sensory feedback. His work spans human-robot interaction, adaptive iterative-learning algorithms, and biomechanics estimation using neural nets, bridging theoretical nonlinear dynamics and practical clinical evaluation. Based in Riverside, CA, he progressed from graduate research and industry internships to postdoctoral roles at USC and UC Irvine before joining UCR, demonstrating a consistent focus on translational rehabilitation robotics. A less obvious thread in his profile is the fusion of stability-guaranteed control methods with data-driven adaptation—enabling devices that learn from users while maintaining safe, predictable behavior.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mechanical Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering at University of Washington