Chaoqian Qiao

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About

Chaoqian Qiao is a rising researcher in robotics and control systems, with a focus on enhancing the autonomy and efficiency of robotic manipulators and mobile robots. His work centers on two critical challenges: robust control under uncertainty and intelligent path planning. In his highly cited 2024 paper, Qiao introduces an adaptive predefined-time sliding-mode control (SMC) strategy for uncertain robotic manipulators, a significant contribution that addresses the tracking problem by integrating unknown dynamic parameters and disturbance bounds into a single compounded uncertainty. This work, already garnering 2 citations, offers a novel approach to achieving rapid, guaranteed convergence in complex robotic systems. Expanding into mobile robotics, his 2025 paper on an improved Bidirectional A* and Time-Elastic Band algorithm revolutionizes path planning by simplifying the 8-neighborhood search to a 5-neighborhood search using node angle information, dramatically improving computational efficiency. With 1 citation shortly after publication, this work demonstrates immediate impact. Qiao’s research bridges theoretical control advances with practical navigation solutions, marking him as an innovator in adaptive robotics and autonomous systems.