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About

Baiyi Wang is a rising researcher in soft robotics and intelligent control, with a focus on continuum robots and autonomous systems for extreme environments. Their work bridges origami-inspired design and bio-inspired optimization algorithms to address challenges in robot locomotion and precision. Wang’s most cited paper, “Kinematic modelling and closed-loop control of a novel soft continuum robot” (2025, 18 citations), introduces a framework for precise motion in compliant structures, laying groundwork for medical and industrial applications. A second key contribution, “Precise motion control for a space mining robot based on improved African vultures optimization” (2024, 5 citations), tackles motion errors on asteroid surfaces, proposing a novel AI-driven controller to enhance autonomy in resource extraction. Wang also pioneered “A multimodal continuum robot constructed using three stable state characteristics of Kresling origami” (2024, 4 citations), demonstrating how gas-driven Kresling folds enable versatile, self-propelled robots. Their recent “MSGJO: a new multi-strategy AI algorithm for the mobile robot path planning” (2025, 3 citations) further advances optimization for navigation. With a growing citation record and work published in 2024–2025, Wang is establishing a reputation for integrating mechanical ingenuity with computational intelligence, promising significant impact in space robotics and soft manipulation.