Behavior based multi robot cooperation by target/task negotiation

Abstract

A multi agent approach and robotics behaviors can be classified as a type of distributed intelligence. This distributed intelligence has an advantage to solving particular problems through benefiting from "divide and conquer" approach. Inherent parallelism of multiple agents can do many, perhaps different things, at the same time. Multiple agents are able to be in different places at the same time and can achieve different goals at the same time. Our paper is presenting achieving of static and dynamic goals completion through agent negotiation. The robotic agents shall assist each other in goal acquisition. This can be achieved in any environment with no map or determined damnation. The agents in our work do not necessarily know it's location in the environment during its goal acquisition. Our work is allowing easy location communication between agents in indoor environment.