Traditional navigation algorithms, optimizing the robot's movements towards a target position, are not appropriate to manage the robot's movements in uncontrolled environment populated by people. In this paper, we propose different AI-driven methodologies related to the challenging topic of people-aware navigation, a dynamic and multi-agents navigation task, that aim introducing the social conventions respected by people, both at the reactive level and via a learning process.
People-aware navigation: AI-driven approaches to enhance the robot's navigation capabilities
Beraldo G.
;Bacchin A.;Menegatti E.
2021
Abstract
Traditional navigation algorithms, optimizing the robot's movements towards a target position, are not appropriate to manage the robot's movements in uncontrolled environment populated by people. In this paper, we propose different AI-driven methodologies related to the challenging topic of people-aware navigation, a dynamic and multi-agents navigation task, that aim introducing the social conventions respected by people, both at the reactive level and via a learning process.File in questo prodotto:
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