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Issue title: Evaluating Ambient Assisted Living Components and Systems
Guest editors: Stefano Chessa, Juan Antonio Alvarez García and Paolo Barsocchi
Article type: Research Article
Authors: Angulo, Cecilioa | Pfeiffer, Sammyb | Tellez, Ricardoc | Alenyà, Guillemc; *
Affiliations: [a] Department of Automatic Control, Technical University of Catalonia, Pau Gargallo 5, 08028 Barcelona, Spain. E-mail: cecilio.angulo@upc.edu | [b] PAL Robotics, Pujades 77, 08005 Barcelona, Spain. E-mail: sam.pfeiffer@pal-robotics.com | [c] Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028 Barcelona, Spain. E-mails: galenya@iri.upc.edu, r_tellez@ouroboros.org
Correspondence: [*] Corresponding author. E-mail: galenya@iri.upc.edu.
Abstract: 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.
Keywords: Evaluation, AAL, robotics
DOI: 10.3233/AIS-150315
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 7, no. 3, pp. 301-313, 2015
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