A Real-Time Adaptive Reconfiguration System for Swarm Robots

Swarm robots have a wide array of applications in numerous fields and industries. While most research is centered on developing new control algorithms and optimizing them, reconfiguration, a crucial aspect, is still in its early developmental stages. Reconfiguration allows swarm robots to alter their formation, communication patterns, or task allocation to optimize their performance or to adapt to new circumstances. This paper focuses on the reconfiguration of adaptive swarm robots to decrease the rate of task failure by swapping tasks. This paper is comprised of two phases: an initial simulation of the system is proposed and completed followed by a real-life implementation using small-scale Arduino Nano-based ground robots. Tests have been carried out to assess and validate our approach. This paper provides insights into how we can improve swarm robotic collaboration through adaptive reconfiguration, ultimately improving their adaptability in various applications and industries including agriculture, search and rescue, and even disaster relief.