Impact of decision-making system in social navigation

Facing human activity-aware navigation with a cognitive architecture raises several difficulties integrating the components and orchestrating behaviors and skills to perform social tasks. In a real-world scenario, the navigation system should not only consider individuals like obstacles. It is neces...

ver descrição completa

Detalhes bibliográficos
Autores: Gines Clavero, Jonatan, Martín Rico, Francisco, Rodríguez-Lera, Francisco J., Guerrero Hernández, José Miguel, Matellán Olivera, Vicente
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universidad Rey Juan Carlos
Repositorio:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
OAI Identifier:oai:burjcdigital.urjc.es:10115/18769
Acesso em linha:http://hdl.handle.net/10115/18769
Access Level:acceso abierto
Palavra-chave:Social robot
Social navigation
Proxemic
Human-aware navigation
Cognitive architecture
Descrição
Resumo:Facing human activity-aware navigation with a cognitive architecture raises several difficulties integrating the components and orchestrating behaviors and skills to perform social tasks. In a real-world scenario, the navigation system should not only consider individuals like obstacles. It is necessary to offer particular and dynamic people representation to enhance the HRI experience. The robot’s behaviors must be modified by humans, directly or indirectly. In this paper, we integrate our human representation framework in a cognitive architecture to allow that people who interact with the robot could modify its behavior, not only with the interaction but also with their culture or the social context. The human representation framework represents and distributes the proxemic zones’ information in a standard way, through a cost map. We have evaluated the influence of the decision-making system in human-aware navigation and how a local planner may be decisive in this navigation. The material developed during this research can be found in a public repository (https:// github.com/IntelligentRoboticsLabs/social navigation2 WAF) and instructions to facilitate the reproducibility of the results.