Optimization of criterion for objective evaluation of HRI performance that approximates subjective evaluation: a case study in robot competition-Reference-Cited by-同舟云学术

Optimization of criterion for objective evaluation of HRI performance that approximates subjective evaluation: a case study in robot competition

Published:2019-12-04 Issue:3-4 Volume:34 Page:142-156
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Mizuchi Y.¹,Inamura T.¹²

Affiliation:

1. National Institute of Informatics, Chiyoda-ku, Japan

2. The Graduate University for Advanced Studies (SOKENDAI), Chiyoda-ku, Japan

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2019.1698462

Reference29 articles.

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2. Mizuchi Y, Inamura T. Cloud-based multimodal human-robot interaction simulator utilizing ROS and unity frameworks. In: IEEE/SICE International Symposium on System Integration; 2017. p. 948–955.

3. Inamura T, Mizuchi Y. Competition design to evaluate cognitive functions in human-robot interaction based on immersive VR. In: RoboCup 2017: Robot World Cup XXI, Lecture Notes in Artificial Intelligence, Vol. 11175; 2018. p. 84–94.

4. Tellex S, Kollar T, Dickerson S, et al. Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation. In: Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence; 2011. p. 1507–1514.

5. A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks From Ambiguous Language Instructions

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