Title:
The Benefits of Robot Deception in Search and Rescue: Computational Approach for Deceptive Action Selection via Case-Based Reasoning
The Benefits of Robot Deception in Search and Rescue: Computational Approach for Deceptive Action Selection via Case-Based Reasoning
Author(s)
Shim, Jaeeun
Arkin, Ronald C.
Arkin, Ronald C.
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Abstract
By increasing the use of autonomous rescue robots
in search and rescue (SAR), the chance of interaction between
rescue robots and human victims also grows. More specifically,
when autonomous rescue robots are considered in SAR, it is
important for robots to handle sensitively human victims’
emotions. Deception can potentially be used effectively by
robots to control human victims’ fear and shock as used by
human rescuers. In this paper, we introduce robotic deception
in SAR contexts and present a novel computational approach
for an autonomous rescue robot’s deceptive action selection
mechanism.
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Date Issued
2015-10
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Text
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Proceedings