Abstract:
Practical swarm robotics is relatively a new field of artificial intelligence that
involves small multipurpose robots capable of self-healing and dynamic task
allocation. We propose an efficient swarm based mapping and intrusion
detection system capable of self-healing and dynamic task allocation. Swarm
based robotics is actually an inspiration from the nature. Therefore, they may as
well be considered as one of the most efficient ways of handling multi-robot
systems. Over time a lot of research has gone into developing and deploying
multi-agent systems. We intend to maximize the efficiency of the swarm by
optimizing the network, power consumption, time delays and by employing
distributed computing principles in our swarm. Therefore reducing the turnaround time, computational delays and maximizing the throughput. The system
may be used in hostile environments for mapping where human life may be
endangered otherwise. Likewise intrusion may as well be detected in sensitive
areas using this system thus reducing the manpower otherwise employed for
security purpose.
