Yanbin Peng

Papers

Total Citations

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About

Yanbin Peng is a researcher whose work lies at the intersection of bio-inspired robotics and intelligent control systems, with a particular focus on snake-like robots. His most-cited study, "Turning strategy of snake-like robot based on serpenoid curve under cloud assisted smart conditions" (2017, 9 citations), introduces a novel approach to maneuverability by combining the classic serpenoid curve—a mathematical model of snake locomotion—with cloud-assisted computing. This contribution addresses a critical challenge in snake robotics: achieving precise, adaptive turning motions in complex environments. By integrating cloud-based data processing, Peng’s work enhances the robot’s ability to respond to real-time conditions, bridging the gap between biological inspiration and practical, smart automation. While his citation count reflects a focused, emerging impact, his research is significant for advancing the autonomy and efficiency of serpentine robots, with potential applications in search-and-rescue, inspection, and exploration. Peng’s work exemplifies how merging traditional robotic principles with modern cloud technologies can unlock new capabilities in biomimetic design, making him a noteworthy contributor to the field of intelligent robotics.