Swarm Robot Exploration Strategy for Path Formation Tasks Inspired by Physarum polycephalum

Physarum polycephalum, a unicellular and multiheaded slime mould, can form highly efficient networks connecting separated food sources during the process of foraging. These adaptive exhibit unique characteristic in that they are optimized without control central consciousness. Inspired by this phenomenon, we present an exploration navigation strategy for swarm robots, which exploits cooperation self-organisation to overcome limited abilities individual robots. The task faced robots consists unknown environment order find path between two distant target areas. For proposed algorithm (EAIPP), experimentally robustness tests obstacle conducted analyse performance our compare with other robot foraging algorithms also focus on formation task. This work has certain significance research polycephalum. robotics, not only lead multirobot as whole limitations very simple agents but offer better terms search efficiency success rate. is first one combining It reveals potential polycephalum principle systems.