Hongxin Cao

Zhejiang University, Chinese Academy of Sciences

Papers

Total Citations

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About

Hongxin Cao is a robotics researcher whose work centers on the design, motion planning, and control of advanced robotic systems, with a particular focus on flexible manipulators and climbing robots. His major contributions include the development of a novel hybrid algorithm for visualized trajectory planning of flexible redundant robotic arms, which addresses the complex challenge of optimizing motion in high-degree-of-freedom systems. This work, published in 2016, has garnered 16 citations, reflecting its relevance to researchers tackling redundancy resolution and path optimization. In the domain of climbing robotics, Cao has made notable strides with a 2020 study on structure design and mobility analysis, drawing inspiration from pioneering platforms like RiSE and LEMUR IIB. He proposed a new climbing robot that simplifies motion modes while enhancing load capacity, supported by detailed dynamic analysis of leg and body torques. This contribution, with 5 citations, underscores his ability to innovate in niche, application-driven areas. Cao’s research bridges theoretical algorithms and practical mechanical design, offering valuable insights for students and engineers interested in robotic manipulation, locomotion, and bio-inspired systems.