Physarum Route Optimization: Bio-inspired Strategies for Mobile Robot Navigation

• Dieisson Martinelli UTFPR
• André Schneider de Oliveira UTFPR
• Vivian Cremer Kalempa UDESC

Abstract

The objective of this project is to explore the applicability of a bioinspired approach, derived from the behavior of the Physarum polycephalum fungus, in optimizing trajectory navigation for mobile robot structures. The precise organism Physarum, which has the capability to quick locate efficient paths among factors in complicated environments, serves as a herbal version for constructing inspired trajectory algorithms. In this project, the development of a trajectory set of rules is proposed, that’s as compared to conventional trajectory introduction techniques, aiming to introduce a novel approach to cellular robot navigation. This work is presented thru a aggregate of experimental observations and computational simulations that show the effectiveness of this bioinspired approach in trajectory choice. As a end result, an set of rules is developed that mimics the behavior of the Physarum and, similarly to conventional navigation algorithms, paves the manner for research and improvement.

Keywords: Shortest path problem, Navigation, Heuristic algorithms, Memory management, MIMICs, Dynamic scheduling, Organisms, Trajectory, Mobile robots, Resource management, Bioinspired algorithms, Autonomous robotics, Trajectory optimization, Mobile robotic navigation, Physarum polycephalum