Résumé:
Due to the hazardous and hostile conditions that arise following a natural disaster, multi-robot
systems are employed as substitutes for human beings in the task of searching and rescuing
victims. The exploration of unknown environments is considered as a paramount concern in
the field of mobile robotics. It consists a foundational stage for various applications such as
search and rescue, cleaning tasks, and foraging.
We proposed in this work, a new swarm robotic search strategy for search and rescue
operations. The proposed strategy is inspired by the hunting behavior of Penguins. It hybridizes
the Penguin Search Optimization Algorithm with the Random Walk Algorithm to modulate the
global and local search behaviors of robots. To evaluate the effectiveness of our strategy, we
implemented it in the ARGoS multi-robot simulator and conducted a series of experiments. The
results obtained from these experiments clearly demonstrate the efficiency and effectiveness of
our proposed search strategy.
