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About

Zhicheng Teng is a researcher working at the intersection of biomechanical engineering, rehabilitation robotics, and human-machine interfaces. His work spans the design of biologically inspired robotic joints, exoskeleton systems, and advanced myoelectric control strategies for prosthetic and assistive devices. Teng's most cited contribution, a general arthropod joint model applied to human robotic joints (18 citations), introduced a novel framework for achieving high bio-imitability in exoskeleton designs, moving beyond conventional monocentric bearing units. His elastodynamic analysis of a motion-decoupling forging manipulator (15 citations) further demonstrates his versatility across mechanical systems. In the domain of neural control, Teng has made meaningful strides in robust myoelectric control, exploring how muscle synergies can be leveraged to improve hand gesture recognition under real-world force variations (12 citations). His more recent investigations into force synergy-inspired robotic transmission systems and concurrent multi-finger force estimation signal a broader vision: bridging neurophysiology and mechanical design to create more intuitive, human-like assistive technologies. With a growing body of work totaling over 50 citations, Teng represents an emerging voice shaping the future of intelligent rehabilitation engineering.