Gangjun Yang

Taiyuan University of Science and Technology

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About

Dr. Gangjun Yang is a leading researcher in swarm intelligence and robotics, with a primary focus on developing bio-inspired algorithms for autonomous multi-robot systems. His most significant contributions center on the application of the Artificial Physics Optimisation (APO) algorithm to swarm robotics, particularly for critical search-and-rescue operations in disaster scenarios. In his highly cited 2013 paper (20 citations), Dr. Yang pioneered the use of APO to coordinate swarm robots in locating victims, demonstrating how virtual physical forces can guide collective exploration. Expanding on this, his subsequent work (11 citations) introduced a time-varying sense domain to model the realistic, limited sensing capabilities of robots, making the approach more applicable to real-world conditions. By bridging theoretical optimisation with practical robotic constraints, Dr. Yang’s research has provided a foundational framework for deploying resilient, decentralised robot swarms in hazardous environments. His work is essential reading for researchers in swarm robotics, artificial life, and emergency response technology, offering a principled method for turning simple local interactions into powerful global search behaviours.