The Benefits of Robot Deception in Search and Rescue: Computational Approach for Deceptive Action Selection via Case-Based Reasoning

Shim, Jaeeun; Arkin, Ronald C.

Title:

The Benefits of Robot Deception in Search and Rescue: Computational Approach for Deceptive Action Selection via Case-Based Reasoning

dc.contributor.author	Shim, Jaeeun
dc.contributor.author	Arkin, Ronald C.
dc.contributor.corporatename	Georgia Institute of Technology. College of Computing	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Interactive Computing	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Electrical and Computer Engineering	en_US
dc.contributor.corporatename	Georgia Institute of Technology. Mobile Robot Laboratory
dc.contributor.corporatename	Georgia Institute of Technology. Institute for Robotics and Intelligent Machines
dc.date.accessioned	2017-05-04T19:33:59Z
dc.date.available	2017-05-04T19:33:59Z
dc.date.issued	2015-10
dc.description	© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.	en_US
dc.description	DOI: 10.1109/SSRR.2015.7443002	en_US
dc.description.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.	en_US
dc.identifier.citation	Shim, J. & Arkin, R.C. (2015). The Benefits of Robot Deception in Search and Rescue: Computational Approach for Deceptive Action Selection via Case-Based Reasoning. 2015 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), West Lafayette, IN, pp. 1-8.	en_US
dc.identifier.doi	10.1109/SSRR.2015.7443002	en_US
dc.identifier.isbn	978-1-5090-1958-8
dc.identifier.uri	http://hdl.handle.net/1853/56673
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.publisher.original	Institute of Electrical and Electronics Engineers
dc.relation.ispartofseries	Mobile Robot Laboratory	en_US
dc.subject	Autonomous rescue robots	en_US
dc.subject	Robotic deception	en_US
dc.subject	Search and rescue	en_US
dc.title	The Benefits of Robot Deception in Search and Rescue: Computational Approach for Deceptive Action Selection via Case-Based Reasoning	en_US
dc.type	Text
dc.type.genre	Proceedings
dspace.entity.type	Publication
local.contributor.author	Arkin, Ronald C.
local.contributor.corporatename	College of Computing
local.contributor.corporatename	Mobile Robot Laboratory
local.contributor.corporatename	Institute for Robotics and Intelligent Machines (IRIM)
relation.isAuthorOfPublication	e853e35f-f419-4348-9619-6f0c7abef2c7
relation.isOrgUnitOfPublication	c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isOrgUnitOfPublication	488966cd-f689-41af-b678-bbd1ae9c01d4
relation.isOrgUnitOfPublication	66259949-abfd-45c2-9dcc-5a6f2c013bcf