Evaluating the use of robots to enlarge AAL services

We introduce robots as a tools to enhance Ambient Assisted Living (AAL) services. Robots are a unique opportunity to create new systems to cooperate in reaching better living conditions. Robots offer the possibility of richer interaction with humans, and can perform actions to actively change the en...

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Detalhes bibliográficos
Autores: Angulo Bahón, Cecilio|||0000-0001-9589-8199, Pfeiffer, Sammy, Alenyà Ribas, Guillem|||0000-0002-6018-154X, Téllez Lara, Ricardo
Formato: artículo
Fecha de publicación:2015
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/87375
Acesso em linha:https://hdl.handle.net/2117/87375
https://dx.doi.org/10.3233/AIS-150315
Access Level:acceso abierto
Palavra-chave:Artificial intelligence
Robots -- Control systems
Evaluation
AAL
robotics artificial intelligence
service robots
social aspects of automation
Robots -- Sistemes de control
Intel·ligència artificial
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Àrees temàtiques de la UPC::Informàtica::Robòtica
Descrição
Resumo:We introduce robots as a tools to enhance Ambient Assisted Living (AAL) services. Robots are a unique opportunity to create new systems to cooperate in reaching better living conditions. Robots offer the possibility of richer interaction with humans, and can perform actions to actively change the environment. The current state-of-art includes skills in various areas, including advanced interaction (natural language, visual attention, object recognition, intention learning), navigation (map learning, obstacle avoidance), manipulation (grasping, use of tools), and cognitive architectures to handle highly unpredictable environments. From our experience in several robotics projects and principally in the RoboCup@Home competition, a new set of evaluation methods is proposed to assess the maturity of the required skills. Such comparison should ideally enable the abstraction from the particular robotic platform and concentrate on the easy comparison of skills. The validity of that low-level skills can be then scaled to more complex tasks, that are composed by several skills. Our conclusion is that effective evaluation methods can be designed with the objective of enabling robots to enlarge AAL services.