Embodied Affect for Real-World Human-Robot Interaction

The potential that robots offer to support humans in multiple aspects of our daily lives is increasingly acknowledged. Despite the clear progress in social robotics and human-robot interaction, the actual realization of this potential still faces numerous scientific and technical challenges, many of...

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Bibliographic Details
Published in:2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI) pp. 459 - 460
Main Author: Canamero, Lola
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 09.03.2020
Series:ACM Conferences
Subjects:
Adaptation models
Autonomous social robots
Complexity theory
Computational modeling
Computer systems organization
Computer systems organization > Embedded and cyber-physical systems
Computer systems organization > Embedded and cyber-physical systems > Robotics
Computing methodologies
Computing methodologies > Artificial intelligence
Computing methodologies > Artificial intelligence > Control methods
Computing methodologies > Artificial intelligence > Control methods > Robotic planning
Computing methodologies > Artificial intelligence > Planning and scheduling
Computing methodologies > Artificial intelligence > Planning and scheduling > Robotic planning
Developmental robotics
Embodied AI
Emotion modeling
HRI
Human-centered computing
Human-centered computing > Human computer interaction (HCI)
Human-robot interaction
Medical services
Robot kinematics
Robot sensing systems
emotion modeling
developmental robotics
embodied ai
autonomous social robots
hri
ISBN:1450367461, 9781450367462
ISSN:2167-2148
Online Access:Get full text
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Summary:The potential that robots offer to support humans in multiple aspects of our daily lives is increasingly acknowledged. Despite the clear progress in social robotics and human-robot interaction, the actual realization of this potential still faces numerous scientific and technical challenges, many of them linked to difficulties in dealing with the complexity of the real world. Achieving real-world human-robot interaction requires, on the one hand, taking into account and addressing real-world (e.g., stakeholder's) needs and application areas and, on the other hand, making our robots operational in the real world. In this talk, I will address some of the contributions that Embodied Artificial Intelligence can make towards this goal, illustrating my arguments with examples of my and my group's research on HRI using embodied autonomous affective robots in areas such as developmental robotics, healthcare, and computational psychiatry. So far little explored in HRI, Embodied AI, which started as an alternative to "symbolic AI" (a "paradigm change") in the way to conceive and model the notion of "intelligence" and the interactions of embodied agents with the real world, is highly relevant towards achieving "real-world HRI", with its emphasis on notions such as autonomy, adaptation, interaction with dynamic environments, sensorimotor loops and coordination, learning from interactions, and more generally, as Rodney Brooks put it, using and exploiting the real world as "its own best model".
ISBN:1450367461
9781450367462
ISSN:2167-2148
DOI:10.1145/3319502.3374843