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About

Shuhai Jiang is a robotics researcher whose work bridges the gap between biomimetic design and intelligent mobile systems. His primary research areas include mobile robot locomotion, structural dynamics, and autonomous navigation. Jiang’s major contributions include the design of a six-wheeled food delivery robot with a suspension damping structure, addressing critical stability challenges on complex terrain—a practical innovation for last-mile delivery. He has also advanced path planning for outdoor robots by developing an improved Double Deep Q Network (IDDQN) algorithm, which tackles slow convergence and low accuracy in obstacle-dense environments. His foundational work on hexapod bionic robots, inspired by beetle morphology, has contributed to the understanding of multi-legged locomotion, with kinematic simulations using ADAMS. With over 30 citations across his most-cited papers, Jiang’s impact is evident in both theoretical and applied robotics. Notably, his 2024 work on IDDQN and 2025 research on YOLOv8-based visual servoing for courier information recognition highlight his ongoing push toward integrating deep learning with real-world robotic systems.