Mutual learning or unsupervised interactions between mobile robots

Abstract

This paper presents an overview of an ongoing project about the study of vision-based interactions between mobile robots. We first introduce the concept of dynamic map, which is a unified representation of the dynamic capabilities of a robot along with its interactions with its environment. An overview of the experimental setup is given, presenting the robot architecture, including the vision-based simulated odometric system. We address the problems of the learning and execution of pursuit strategies using a neural network-based trajectory planner.