Papers
2
Total Citations
41
H-Index
2
About
Nachuan Yang is a researcher at the forefront of multi-robot systems and rehabilitation robotics. His work centers on developing intelligent, collaborative algorithms for autonomous coverage tasks and designing novel, patient-friendly exoskeleton mechanisms. Yang’s most impactful contribution, the APF-CPP (Artificial Potential Field Based Multi-Robot Online Coverage Path Planning) approach, has garnered 28 citations since 2024. This work addresses a critical challenge in robotics by enabling multiple robots to efficiently and adaptively cover unknown areas in real time, a key capability for applications in search-and-rescue, environmental monitoring, and precision agriculture. In the domain of rehabilitation, Yang’s design and evaluation of a parallel cable-driven shoulder mechanism with series springs (13 citations) offers a significant advancement. By integrating compliant, lightweight cable actuation, this exoskeleton provides safe, comfortable, and effective shoulder assistance for patients with upper limb paralysis. This work demonstrates a practical, low-cost solution for movement retraining, bridging the gap between advanced robotics and clinical rehabilitation. Yang’s dual focus on algorithmic intelligence and mechanical innovation marks him as a promising contributor to both autonomous systems and assistive technology.
Research Focus
Key Achievements
Top Papers
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