Papers
12
Total Citations
108
H-Index
6
About
Haibo Tian is a robotics and mechanical engineering researcher whose work spans several interconnected domains, including parallel mechanisms, cable-driven robotic systems, motion planning, and tracked mobile robots. His research on metamorphic parallel mechanisms — structures capable of reconfiguring across multiple operational configurations — has garnered significant attention, with his stiffness analysis study accumulating 29 citations since 2019, establishing him as a contributor to adaptive robotic structure design. Tian has also made notable strides in human-like motion planning, developing a dual fast marching tree algorithm that enables anthropomorphic arms to execute naturalistic, constraint-aware movements, earning 22 citations. His investigations into cable-based parallel robots address real-world industrial challenges, including gangue sorting in mining environments and long-span camera systems, where he tackles stability, tension management, and trajectory tracking under uncertainty. Complementing this, his work on tracked inspection robots addresses precise steering control under skidding conditions — critical for rescue and safety applications. Across more than a decade of research, Tian has consistently bridged theoretical mechanical analysis with practical robotic implementation, contributing tools and frameworks that inform both academic investigation and engineering deployment.
Research Focus
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