Special Issue on Behavior Adaptation, Interaction, and Artificial Perception for Assistive Robotics
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EDITORIAL
Special Issue on Behavior Adaptation, Interaction, and Artificial Perception for Assistive Robotics Mariacarla Staffa1 · Silvia Rossi1 · Adriana Tapus2 · Mehdi Khamassi3
© Springer Nature B.V. 2020
This special issue aims at examining and promoting recent developments in the Assistive/Social Robotics field and future directions including the related challenges and how these can be overcome with particular focus on computational intelligence methodologies. With robots being integrated more and more in our environments and daily activities, the effectiveness of robotics applications has to rely on robots’ ability to perceive, reason, and adapt onthe-fly to the users’ behavior and needs. In particular, the development of personal robots, as assistive technological tools, challenges researchers to develop socially intelligent and adaptive robots that can collaborate with people in real environment. This special issue is comprised of 14 papers, fostering discussions and investigations in robot behavior adaptation and learning, in socially assistive robotics, and in developing reliable systems for natural interactions between humans and robots. Several aspects and perspectives are taken into consideration by the authors covering various topics such as adaptability during real-world human–robot interactions; new reinforcement learning and learning by teaching techniques especially used in the context of child-robot interaction; social robot responses, perception and adaptation by means of a semantic representation; robots acceptability and security. Furthermore, several assistive applications for the elderly, children, and people are presented.
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Mariacarla Staffa [email protected] Silvia Rossi [email protected] Adriana Tapus [email protected] Mehdi Khamassi [email protected]
1
University of Naples Federico II, Naples, Italy
2
ENSTA Paris, Institut Polytechique de Paris, Palaiseau, France
3
Sorbonne Université, CNRS, ISIR, Paris, France
In the field of assistive robotics, adaptation to the specific needs of patients was considered in “A Holistic Approach to Behavior Adaptation for Socially Assistive Robots” (by A. Umbrico, A. Cesta, G. Cortellessa, and A. Orlandini) with a semantic-based cognitive architecture to generate robotic assistive objectives. The approach is based on ontologies for characterizing the internal knowledge and the self-awareness of a social robot and specifying its capabilities to support users during its assistive services in adaptive and personalized scenarios. Adaptation to the user is also considered in “Short-Term Human–Robot Interaction Adaptability in Real-World Environments” (by A. Andriella, C. Torras, and G. Alenya), where an assistive robotic platform relying on planning techniques extended with adaptive social capabilities, is used to assist people during short-term interactions. The robot adapts itself according to the stage of the game and provide assistance to the user. Conceiving robot control architectures to be applied to a variety o
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