Jianzhi Jin

Hubei University of Science and Technology

Papers

Total Citations

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About

Jianzhi Jin is a leading researcher in robotics and autonomous systems, with a primary focus on robot path planning, multi-robot coordination, and real-time obstacle avoidance in dynamic environments. His most influential work, "Conflict-based search with D* lite algorithm for robot path planning in unknown dynamic environments" (2022), has garnered 62 citations, demonstrating its significant impact on the field. This contribution introduced a novel hybrid approach that combines conflict-based search with D* lite, enabling efficient and adaptive navigation for robots operating in unpredictable settings. Jin’s recent research, "APPA: An adaptation path planning algorithm for real-time obstacle avoidance in multi-robot systems" (2025), further advances the state of the art by addressing the critical challenges of real-time performance, stability, and coordination in complex environments. This work is particularly relevant to logistics, industrial automation, and public services, where multi-robot systems are increasingly deployed. Through his innovative algorithms, Jin has made substantial contributions to enhancing the reliability and efficiency of autonomous navigation, earning recognition as a key figure in the development of adaptive path planning strategies.