Papers
8
Total Citations
41
H-Index
4
About
Jun Huo is an emerging robotics researcher whose work sits at the intersection of assistive technology, human-robot interaction, and rehabilitation engineering. His research focuses on developing innovative robotic systems designed to restore independence and mobility for individuals with motor impairments, including stroke survivors, hemiplegic patients, and the elderly. Huo has made notable contributions across several technical domains. His gaze-driven assistive robotic system offers a hands-free interface enabling patients with limb dysfunction to perform reaching and grasping tasks intuitively. A significant thread of his work centers on Supernumerary Robotic Limbs (SRLs) — wearable "extra" limbs that augment or compensate for impaired function — spanning parametric design optimization, flexible pneumatic designs inspired by biological structures, and advanced variable impedance control strategies. His development of a soft six-axis force/torque sensor further advances safe, precise human-robot physical interaction. With a growing body of publications accumulating over 40 citations since 2018, Huo's research demonstrates consistent progression from hardware design and dynamic modeling to sophisticated control frameworks addressing real-world clinical challenges like sit-to-stand assistance and walking support. Students interested in rehabilitation robotics, wearable systems, or human-robot coordination will find his work both technically rigorous and meaningfully grounded in patient-centered applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Parametric Design Optimization of a Universal Supernumerary Robotic Limb8 citations · 2021
- 3
- 4
- 5
- 6
- 7
- 8