Nicholas Cheng

Papers

Total Citations

264

H-Index

About

Nicholas Cheng is a pioneering researcher at the intersection of rehabilitation robotics and neural engineering, whose work focuses on developing soft robotic systems for post-stroke motor recovery. His most impactful contribution is the Brain-Computer Interface-Based Soft Robotic Glove (BCI-SRG), demonstrated in a landmark 2020 randomized controlled feasibility study (153 citations), which integrated neural control with soft robotics to deliver activities of daily living (ADL)-oriented rehabilitation—a breakthrough that bridges brain signals and physical therapy. Cheng further advanced the field with the design of a soft robotic elbow sleeve (71 citations), capable of both continuous passive motion and intent-controlled assistance, and a bidirectional soft pneumatic fabric-based actuator (40 citations) for grasping applications, showcasing low-pressure, fabric-driven actuation. His work has garnered over 260 citations, reflecting its influence in wearable robotics and neurorehabilitation. By combining biocompatible materials with neural interfaces, Cheng has established a new paradigm for accessible, patient-responsive rehabilitation devices, positioning him as a key innovator in soft robotics for clinical stroke recovery.