Papers
7
Total Citations
153
H-Index
5
About
Ryan Alicea is a pioneering researcher at the intersection of rehabilitation robotics and field robotics, whose work spans from soft wearable technologies to autonomous navigation in extreme environments. His most impactful contribution lies in developing EMG-driven machine learning control systems for soft robotic gloves, achieving 70 citations for a 2022 paper that addresses the critical challenge of balancing compliance with control precision in hand exoskeletons. Building on this, his 2021 work on synergy-based soft gloves for grasping assistance—cited 35 times—introduces an underactuation approach inspired by postural hand synergies, specifically designed to restore grasp capability for spinal cord injury patients. Beyond rehabilitation, Alicea has made notable advances in fire-fighting robotics, creating sound identification systems for companion robots that reduce firefighter risk, and in legged locomotion, where he models traversal through pliable vegetation, resistive terrains, and shallow fluids—work that earned him recognition for pushing robots into unstructured outdoor environments. With a portfolio of seven highly cited papers, Alicea demonstrates a rare ability to bridge human-centered assistive technology with rugged autonomous systems, making him a versatile innovator in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A soft, synergy-based robotic glove for grasping assistance35 citations · 2021
- 3Sound Identification for Fire-Fighting Mobile Robots24 citations · 2018
- 4Modeling and traversal of pliable materials for tracked robot navigation8 citations · 2018
- 5Legged locomotion in resistive terrains7 citations · 2020
- 6
- 7Lift Your Leg: Mechanics of Running Through Fluids4 citations · 2019