Papers
3
Total Citations
27
H-Index
3
About
Yongsheng Deng is a robotics researcher whose work focuses on the critical intersection of safety, precision, and human-robot interaction. His primary research areas include dual-arm robot collision avoidance, automated trajectory planning for non-destructive testing (NDT), and the development of highly under-actuated hand exoskeletons for motion tracking. Deng’s major contribution is a real-time, kinematics-based self-collision avoidance algorithm for dual-arm robots, a safety-critical innovation that prevents severe mechanical damage during operation. This work, published in 2020, has garnered 20 citations, establishing a foundation for safer collaborative robotics. He has also advanced industrial automation by developing a method for robotic trajectory planning using surface 3D point cloud data, enabling high-precision NDT on complex geometries without time-consuming manual teaching. Most recently, Deng has pushed the boundaries of wearable robotics with a novel highly under-actuated exoskeleton capable of reconstructing the joint-space motion of human fingers. This 2024 work, already accumulating 3 citations, holds promise for applications in immersive virtual reality, teleoperation, and stroke rehabilitation, showcasing his ability to translate complex mechanical design into practical human-centric solutions.
Research Focus
Key Achievements
Top Papers
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