Home /Research /Transportation of long objects in unknown cluttered environments by a team of robots: A dynamical systems approach
OTHER

Transportation of long objects in unknown cluttered environments by a team of robots: A dynamical systems approach

Toni Machado, Tiago Malheiro, Sérgio Monteiro, Estela Bicho, Wolfram Erlhagen

Year
2013
Citations
7

Abstract

We present a distributed architecture for teams of two autonomous mobile robots that act in coordination in a joint transportation task of long objects. The team is able to perform its transportation task in unknown environments while avoiding static or moving obstacles. The working environment can be cluttered and with narrow passages such as corridors, corners and doors. These characteristics make our approach suitable to be deployed in warehouses or office-like environments. The control architecture of each robot is formalized as a non-linear dynamical system, where by design attractor states dominate. The overt behavior is smooth and stable, because it is generated as a time sequence of attractor states, for the control variables, which contributes to the overall asymptotically stability of the system that makes it robust against perturbations. We present results with real robots in a real indoor cluttered environment.

Keywords

RobotAttractorTask (project management)Mobile robotComputer scienceDoorsArchitectureStability (learning theory)Dynamical systems theoryArtificial intelligence

Related papers

Browse all OTHER papers