Comparison of Team Robot Localization by Input Difference for Deep Neural Network Model

منو

" Comparison of Team Robot Localization by Input Difference for Deep Neural Network Model "
Kang, Sehyeok Pavlic, Theodore P.

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	1114488
Doc. No	:	TLpq2408507206
Main Entry	:	Kang, Sehyeok
	:	Pavlic, Theodore P.
Title & Author	:	Comparison of Team Robot Localization by Input Difference for Deep Neural Network Model\ Kang, SehyeokPavlic, Theodore P.
College	:	Arizona State University
Date	:	2020
student score	:	2020
Degree	:	M.S.
Page No	:	76
Abstract	:	In a multi-robot system, locating a team robot is an important issue. If robots can refer to the location of team robots based on information through passive action recognition without explicit communication, various advantages (e.g. improving security for military purposes) can be obtained. Specifically, when team robots follow the same motion rule based on information about adjacent robots, associations can be found between robot actions. If the association can be analyzed, this can be a clue to the remote robot. Using these clues, it is possible to infer remote robots which are outside of the sensor range.
Subject	:	Artificial intelligence
	:	Computer engineering
	:	Long Short-Term Memory
	:	Multi-robot system
	:	Raspberry pis
	:	Robotics