Papers
9
Total Citations
51
H-Index
4
About
Julio Fajardo is a robotics researcher whose work sits at the intersection of assistive technology, soft wearable robotics, and sensor-driven control systems. His primary contributions focus on developing innovative solutions for individuals with upper limb disabilities, particularly those affecting hand function and grip strength. Fajardo’s most impactful work includes the design of a tendon-actuated robotic glove integrated with an optical fiber force myography (FMG) sensor, which has garnered 15 citations for its novel approach to soft wearable assistance. His earlier development of a wearable robotic glove using optical FMG-driven control (17 citations) further established his expertise in creating underactuated orthoses for people unable to perform firm grasps. Fajardo has also explored hybrid control strategies combining robotic gloves with functional electrical stimulation (FES) for stroke and spinal cord injury rehabilitation, as well as robust control methods for prosthetic hands. Beyond upper limb assistance, his research extends to biomimetic robots with peristaltic locomotion, autonomous wildfire drones, and immersive telepresence systems for humanoid robots. With a growing portfolio of over 50 total citations, Fajardo’s work demonstrates a clear commitment to translating advanced robotics and sensor technologies into practical, life-changing assistive devices.
Research Focus
Key Achievements
Top Papers
- 1A Wearable Robotic Glove based on Optical FMG Driven Controller17 citations · 2019
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