Jared Matthews

About

Jared Matthews is at the forefront of wearable robotics and human-machine interaction, pioneering the integration of soft bioelectronics with intelligent exoskeletons. His research focuses on developing closed-loop systems that seamlessly combine physiological sensing, machine learning, and mechanical assistance to augment human strength and estimate physical effort. Matthews’s most impactful work, a 2023 paper on a soft wearable bioelectronic system integrated with an ankle-foot exoskeleton, has already garnered 40 citations for its novel approach to estimating metabolic costs and physical effort without cumbersome indirect calorimetry. This breakthrough enables rapid, personalized optimization of assistive devices. In parallel, his work on an intelligent upper-limb exoskeleton—combining soft bioelectronics with deep learning for intention-driven strength augmentation—addresses age- and stroke-related muscle decline by predicting user movement through sensory feedback, eliminating the need for manual operation. By fusing flexible electronics with real-time biomechanical sensing and AI, Matthews is advancing a new generation of adaptive, user-responsive exoskeletons that promise to transform rehabilitation and human performance augmentation.

Research Focus

Key Achievements

Top Papers

1. 1
   Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort

   40 citations · 2023
2. 2
   Intelligent upper-limb exoskeleton integrated with soft wearable bioelectronics and deep-learning for human intention-driven strength augmentation based on sensory feedback

   2 citations · 2023

Key Collaborators

Contact & Links