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About

Junyi Shi is a robotics researcher whose work bridges the gap between biological inspiration and practical autonomy for legged and mobile robots. His primary research areas include locomotion control for large-scale hexapod robots, shared human-robot control, and environment mapping for dynamic settings. Shi’s most influential contribution is the development of a free gait controller for heavy-load hexapods, enabling stable locomotion across rough, unpredictable terrains—a critical advancement for field robotics. His 2019 paper on this topic has garnered 21 citations, while his 2021 work on row anchor selection for crop-following robots (29 citations) demonstrates the agricultural applications of his navigation methods. Shi has also pioneered attitude trajectory optimization to ensure balance in large hexapods (12 citations) and introduced a closed-loop shared control framework that synergizes human intuition with robotic precision (11 citations). More recently, he has explored learning-based approaches for mapping spatial motion patterns and dynamic visual SLAM, pushing toward truly intelligent autonomous navigation. His work on high-fidelity hardware-in-the-loop simulation for space robots reflects a commitment to real-world deployment. With a growing citation record and a focus on both theoretical rigor and practical impact, Junyi Shi is shaping the future of robust, adaptive robotic systems.