Lanbo She
ABSTRACT
Enabling natural language control of robots is challenging, since human users are often not familiar with the underlying robotic system, and its capabilities and limitations. Many exceptions may occur when natural language commands are translated into lower-level robot actions. This paper gives a brief introduction to three levels of exceptions and discusses how dialogue can be applied to handle these exceptions during human-robot interaction.
- 1. M. Cakmak and L. Takayama. Teaching people how to teach robots: The effect of instructional materials and dialog design. In HRI '14, pages 431--438, New York, NY, USA, 2014. Google Scholar
Digital Library
- 2. J. Y. Chai, L. She, R. Fang, S. Ottarson, C. Littley, C. Liu, and K. Hanson. Collaborative effort towards common ground in situated human-robot dialogue. In HRI '14, pages 33--40, New York, NY, USA, 2014. ACM. Google ScholarDigital Library
- 3. Y. Jia, N. Xi, J. Chai, Y. Cheng, R. Fang, and L. She. Perceptive feedback for natural language control of robotic operations. In ICRA 2014, pages 6673--6678, May 2014.Google ScholarCross Ref
- 4. L. She, S. Yang, Y. Cheng, Y. Jia, J. Chai, and N. Xi. Back to the blocks world: Learning new actions through situated human-robot dialogue. In SIGDIAL'14, pages 89--97, Philadelphia, PA, U.S.A., June 2014.Google ScholarCross Ref
Index Terms
- Exception Handling for Natural Language Control of Robots
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