In robot navigation tasks, the representation of the surrounding world plays an important role, especially in reinforcement learning approaches. This work presents a qualitative r...
We study self-organized navigation in a heterogeneous robotic swarm consisting of two types of robots: small wheeled robots, called foot-bots, and flying robots that can attach to ...
Frederick Ducatelle, Gianni A. Di Caro, Alexander ...
This work is about the integration of the skills robot control, landmark recognition, and qualitative reasoning in a single autonomous mobile system. It deals with the transfer of ...
We demonstrate an approach for collision- and oscillationfree navigation of multiple robots or virtual agents amongst each other. Each entity acts independently and uses only both...
Abstract— In this paper, we propose a new approach to wireless sensor network assisted navigation while avoiding moving dangers. Our approach relies on an embedded roadmap in the...
Gazihan Alankus, Nuzhet Atay, Chenyang Lu, O. Bur&...