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About

Zhi-Qiang Liu is a robotics researcher whose work bridges perception, control, and human-robot interaction. His primary research areas include active perceptual robotics, fuzzy control systems, vision-guided mobile robots, and human action recognition. A major contribution is his development of fuzzy control strategies for active perceptual docking, where robots use real-time visual feedback to navigate and dock with objects—a foundational approach for autonomous mobile manipulation. His work on embodied categorisation for vision-guided robots further advances how robots interpret and act upon visual scenes. More recently, Liu has tackled the challenge of ambiguous postures in action recognition, improving the reliability of home service robots in understanding human intentions. His most cited paper, "Fuzzy Control for Active Perceptual Docking" (2002), has garnered 10 citations, while his 2018 work on action recognition has also gained traction with 6 citations. Liu also authored the book *Knowledge-Based Vision-Guided Robots*, which advocates for computationally efficient, high-level vision algorithms in autonomous systems. His 2023 work on target localization using an improved RANSAC algorithm for parallel robots demonstrates his continued innovation in vision-based robotic grasping.