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About

Zhi-Qing Li is a robotics researcher whose work spans adaptive locomotion, pipeline inspection, and intelligent manipulation. His key contributions lie in developing robots that can autonomously adjust to complex, unstructured environments—from soft and hard terrains to pipes of varying diameters. Li’s most cited paper, “Development of a Transformable Wheel-track Robot with Self-adaptive Ability” (2011, 12 citations), introduces NEZA-I, a robot that merges wheel and track mechanisms for superior mobility on mixed ground. He further advanced pipeline inspection with a robot that adapts to pipes 500–1000 mm in diameter (2021, 6 citations), and explored bio-inspired undulation control in “Embodying Rather Than Encoding: Undulation with Binary Input” (2022, 6 citations). More recently, Li has tackled industrial manipulation, proposing anti-collision motion control using 3D point clouds (2023) and an improved YOLOv8-based method for small object detection in complex environments (2024). His work demonstrates a consistent focus on embodied intelligence—designing mechanisms and controls that allow robots to sense, adapt, and act without heavy computation. With growing citations and recent advances in vision-guided robotic arms, Li is contributing to the next generation of autonomous, environment-aware robots.