Dianpeng Wang

City University of New York, Beihang University

Papers

Total Citations

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About

Dianpeng Wang is a leading researcher in the field of wearable robotics, with a primary focus on the design and control of soft exoskeletons for human augmentation and rehabilitation. His most impactful work, a 2019 paper on a high-torque, highly backdrivable hybrid soft exoskeleton for knee injury prevention during squatting, has garnered 88 citations and addresses two critical barriers to the widespread adoption of powered exoskeletons: the restriction of natural human movement and the need for versatile control in human-robot collaboration. Wang’s key contribution lies in his innovative high-torque-density actuation system, which enables the exoskeleton to deliver substantial assistance while maintaining exceptional backdrivability—allowing the wearer to move freely without resistance. This breakthrough has significant implications for injury prevention in occupational and athletic settings. Additionally, Wang has explored the integration of robotics with cloud computing, as seen in his 2020 work on constructing a service platform for assisting handicapped or elderly people, which tackles the computational and storage limitations of autonomous navigation and demand-service matching. Through his research, Wang is advancing the practicality and accessibility of wearable co-robot systems, paving the way for their real-world deployment in healthcare and industry.