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About

Minghai Yuan is a leading researcher in bio-inspired robotics and intelligent manufacturing systems, whose work bridges the gap between biological locomotion and industrial automation. His most impactful contribution is the design and simulation of hexapod and octopod bionic robots, drawing directly from the physiological structure of spiders and insects to achieve superior flexibility and stability in multi-legged locomotion. Yuan’s 2019 paper on the hexapod bionic spider robot, with 16 citations, remains a foundational reference in the field, while his subsequent work on an octopod robot further advanced kinematic analysis for complex terrain navigation. Beyond robotics, Yuan has pioneered bio-inspired scheduling for flexible manufacturing systems, notably applying a hormone secretion principle to coordinate machines and automated guided vehicles—a novel approach that has garnered 11 citations for its effectiveness in improving production efficiency. His research also extends to energy-optimal design of industrial robots and zero-wait warehousing logistics, demonstrating a commitment to sustainable and efficient automation. With a growing citation record and recent work on RGV/ASR coordination for salt warehouses, Yuan continues to shape the future of intelligent, biologically inspired manufacturing systems.