Yanbin Luo

Hangzhou Dianzi University, Shandong Institute of Automation

Papers

Total Citations

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About

Yanbin Luo is a robotics researcher whose work spans underwater soft robotics, autonomous inspection systems, and modular reconfigurable robots. His most influential contribution is a bio-inspired underwater bipedal walking soft robot modeled after the coconut octopus, published in 2021 with 56 citations. This work introduced a spring-loaded inverted pendulum (SLIP) model for soft robot locomotion, advancing the compatibility and maneuverability of underwater robots in natural environments. Luo has also made significant contributions to intelligent substation inspection through Lidar SLAM, combining particle filters with graph optimization to improve positioning accuracy and robustness—a paper with 11 citations that addresses critical challenges in industrial robotics. Earlier work includes motion evolution studies of soft robots using VoxCAD simulation (6 citations) and error analysis of modular self-reconfigurable M-Cubes robots using screw theory (4 citations). Across these projects, Luo demonstrates a consistent focus on bridging biological inspiration with practical engineering solutions, from deep-sea exploration to power infrastructure maintenance. His research is particularly relevant for students and engineers interested in soft robotics, bio-inspired design, and autonomous navigation in constrained environments.