Max Robotics — Global Service Robot Directory + US Certification

About

Junlin Wang is a leading researcher in the field of wearable robotics and rehabilitation engineering, with a primary focus on designing comfortable, lightweight, and intelligent exoskeletons for human assistance. Wang’s most influential work, the “Comfort-Centered Design of a Lightweight and Backdrivable Knee Exoskeleton” (2018, 150 citations), introduced groundbreaking principles that treat user discomfort as a mechanical and control challenge, proposing three novel solutions to enhance wearability and natural movement. This paper has become a cornerstone in the development of user-friendly assistive devices. Wang further advanced the field by integrating soft robotics with biosignal sensing, as demonstrated in the “Soft Robotic Exo-Sheath Using Fabric EMG Sensing for Hand Rehabilitation and Assistance” (2018, 31 citations), which combines a soft hand exoskeleton with fabric-based electromyography sensors for stroke and spinal cord injury patients. More recently, Wang explored brain-computer interfaces for post-stroke hand rehabilitation, developing a soft robotic glove controlled by SSVEP-based BCI (2022). Beyond technical innovation, Wang contributes to engineering education, advocating for practice-oriented talent training models in emerging fields. With a career spanning high-impact design principles and interdisciplinary rehabilitation solutions, Wang’s work continues to shape the future of human-robot interaction and assistive technology.