Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.
AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.
This paper presents a navigation framework which enables multiple mobile robots to attain individual goals, coordinate their actions and work safely and reliably in a highly dynamic environment. We give an overview of the framework architecture, its layering and the subsystems reactive obstacle avoidance, local path planning, global path planning, multi-robot planning and localization. The latter receives particular attention as the localization problem is a key issue for navigation in unmodified and difficult environments. The framework permits a lightweight implementation on a fully autonomous robot. This is the result of a design effort striving for compact representations and computational efficiency. The experimental testbed was the ТRoboticsУ pavilion at the Swiss National Exhibition Expo.02 where ten fully autonomous robots were interacting with more than half a million visitors during a five-month period on 3,316 km.