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About

Yunfei Cai’s research lies at the intersection of autonomous navigation, multi-robot cooperation, and service-oriented architectures for intelligent systems. His most influential work introduces a novel dynamic obstacle avoidance algorithm based on the Collision Time Histogram (CTH), which addresses the critical challenge of safe robot path planning in uncertain, dynamic environments—a fundamental problem for unmanned ground vehicles. This paper has garnered 26 citations, reflecting its practical relevance. Cai has also made foundational contributions to multi-robot systems, proposing a new service-oriented architecture (SOA) that solves the heterogeneity problem in cooperative robotics by defining robot services and energy consumption as basic cooperative behaviors. This work, with 22 citations, establishes a layered framework for loosely coupled, scalable multi-robot coordination. His research extends to cooperative online SLAM, where he developed improved algorithms and layered SOA-based architectures for simultaneous localization and mapping. Through these contributions, Cai has advanced both the theory and application of multi-robot cooperation, offering practical solutions for autonomous navigation and system integration that continue to influence the field.