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About

Fuhai Zhang is a prominent robotics researcher whose work spans three interconnected domains: robot kinematics and calibration, rehabilitation robotics, and intelligent robotic perception. His foundational contributions to serial robot calibration using dual quaternion algebra — encompassing both kinematic error modeling and joint stiffness identification — have provided the field with mathematically elegant, unified frameworks for improving industrial robot precision, earning over 75 combined citations. Equally significant is his sustained commitment to stroke rehabilitation technology, where Zhang has progressively advanced hand exoskeleton design from early patient-cooperative therapy systems (2011) to sophisticated portable devices featuring force cognition and FPGA-based active-passive control, collectively accumulating over 90 citations and demonstrating real clinical relevance. His work in robotic perception is exemplified by a highly cited anchor-free fully convolutional grasp detector (49 citations) enabling real-time multigrasp detection from RGB-D images, alongside contributions to dynamic visual tracking and motion planning. Zhang has also explored human-inspired coordination learning for redundant dual-arm robots (45 citations), bridging cognitive science and robotics engineering. With over 320 total citations across a decade of research, Zhang has established himself as a versatile and impactful contributor to intelligent manufacturing and assistive robotics.