Robot Curiosity in Human-Robot Interaction (RCHRI)
被引:2
作者:
Ayub, Ali
论文数: 0引用数: 0
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机构:
Univ Waterloo, Waterloo, ON, CanadaUniv Waterloo, Waterloo, ON, Canada
Ayub, Ali
[1
]
Scheunemann, Marcus
论文数: 0引用数: 0
h-index: 0
机构:
Univ Hertfordshire, Hatfield, Herts, EnglandUniv Waterloo, Waterloo, ON, Canada
Scheunemann, Marcus
[2
]
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机构:
Mavrogiannis, Christoforos
[3
]
Rhim, Jimin
论文数: 0引用数: 0
h-index: 0
机构:
McGill Univ, Montreal, PQ, CanadaUniv Waterloo, Waterloo, ON, Canada
Rhim, Jimin
[4
]
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机构:
Dautenhahn, Kerstin
[1
]
Nehaniv, Chrystopher L.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Waterloo, Waterloo, ON, CanadaUniv Waterloo, Waterloo, ON, Canada
Nehaniv, Chrystopher L.
[1
]
Hafner, Verena V.
论文数: 0引用数: 0
h-index: 0
机构:
Humboldt Univ, Berlin, GermanyUniv Waterloo, Waterloo, ON, Canada
Hafner, Verena V.
[5
]
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机构:
Polani, Daniel
[2
]
机构:
[1] Univ Waterloo, Waterloo, ON, Canada
[2] Univ Hertfordshire, Hatfield, Herts, England
[3] Univ Washington, Seattle, WA USA
[4] McGill Univ, Montreal, PQ, Canada
[5] Humboldt Univ, Berlin, Germany
来源:
PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22)
|
2022年
关键词:
curiosity;
intrinsic motivations;
lifelong learning;
human-robot interaction;
active learning;
D O I:
10.1109/HRI53351.2022.9889478
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
One of the fundamental modes of learning in children is through curiosity. Children (and adults) interact with new people, learn about novel objects, activities and other stimuli through curiosity and other intrinsic motivations. Creating autonomous robots that learn continually through intrinsic curiosity may result in breakthroughs in artificial intelligence. Such robots could continue to learn about themselves and the world around them through curiosity, thus improving their abilities over their 'lifetime'. Although recent works on curiosity in different fields have produced significant results, most of these works have focused on constrained simulated environments which do not involve human interaction. However, in real-world applications such as healthcare, home-assistance etc., robots generally have to interact with humans on a regular basis. In these scenarios, it is imperative that curiosity is directed towards seeking out and learning important information from the humans when needed rather than simply learning in an unsupervised manner. Further, there is limited work on how humans perceive such curious robots and whether humans prefer curious robots that adapt over time to other robots that simply perform their assigned tasks. In this workshop, our goal is to bring together researchers and practitioners in different multidisciplinary fields to discuss the role of robot curiosity in real-world applications and its implications in human-robot interaction (HRI).