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- Cynthia Breazeal
- The MIT Media Lab, 20 Ames Street, E15 room 149, Cambridge, MA 02139, USA
書誌事項
- 公開日
- 2009-12-12
- 権利情報
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- https://royalsociety.org/journals/ethics-policies/data-sharing-mining/
- DOI
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- 10.1098/rstb.2009.0157
- 公開者
- The Royal Society
この論文をさがす
説明
<jats:p> Robotics has traditionally focused on developing intelligent machines that can manipulate and interact with objects. The promise of personal robots, however, challenges researchers to develop socially intelligent robots that can collaborate <jats:italic>with</jats:italic> people to do things. In the future, robots are envisioned to assist people with a wide range of activities such as domestic chores, helping elders to live independently longer, serving a therapeutic role to help children with autism, assisting people undergoing physical rehabilitation and much more. Many of these activities shall require robots to learn new tasks, skills and individual preferences while ‘on the job’ from people with little expertise in the underlying technology. This paper identifies four key challenges in developing social robots that can learn from natural interpersonal interaction. The author highlights the important role that expressive behaviour plays in this process, drawing on examples from the past 8 years of her research group, the Personal Robots Group at the MIT Media Lab. </jats:p>
収録刊行物
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- Philosophical Transactions of the Royal Society B: Biological Sciences
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Philosophical Transactions of the Royal Society B: Biological Sciences 364 (1535), 3527-3538, 2009-12-12
The Royal Society