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About

Zeng Dehuai is a robotics researcher whose work centers on mobile robot systems, autonomous navigation, and intelligent control algorithms, with particular focus on practical applications in security, patrol, and healthcare domains. Beginning in the mid-2000s, Zeng made meaningful contributions to the design and implementation of autonomous security and patrol robots, addressing the growing demand for automated surveillance solutions in large-scale facilities. His most cited work, "Development of a Mobile Platform for Security Robot" (2007, 14 citations) and its companion paper "Design and Implementation of a Security and Patrol Robot System" (2006, 12 citations), established foundational frameworks for modular robot architecture in public security contexts. Zeng also explored assistive technologies for aging populations, developing teleoperated home care robots and Internet-based healthcare systems that sought to alleviate nursing burdens through remote monitoring. On the algorithmic side, he investigated bio-inspired approaches to robot path planning, including Artificial Immune Algorithms and Adaptive Niche Genetic Algorithms for dynamic obstacle avoidance. Though his citation profile remains modest, his interdisciplinary contributions bridging mechanical design, network-based control, and evolutionary computation reflect a consistent commitment to making intelligent robotics practically deployable in real-world human environments.