DocumentCode
165282
Title
Poster abstract: Cyborg-insect networks for mapping of unknown environments
Author
Dirafzoon, Alireza ; Bethhauser, Joseph ; Schornick, Jeff ; Cole, Jeremy ; Bozkurt, Alican ; Lobaton, Edgar
Author_Institution
North Carolina State Univ., Raleigh, NC, USA
fYear
2014
fDate
14-17 April 2014
Firstpage
216
Lastpage
216
Abstract
Cyborg-insect networks are systems that take advantage of existing biological platforms such as cockroaches [2] by attaching small instrumented payloads for sensing and motion control. These agents can be used in applications such as mapping and exploration of environment for emergency response (e.g., search and rescue operations after earthquakes, tsunamis, hurricanes, etc.) These agents can gain access to locations that may not be reachable otherwise by moving underground through smaller locations. The power limitations of such platforms place restrictions on sensing, communication, and motion control. Hence, traditional mapping and exploration techniques may not perform well under these adverse conditions. We propose a robust approach to obtain a topological map of an unknown environment using the coordinate free sensory data obtained from these cyborg-insect networks. In order to minimize control input, we take advantage of the natural behavior of insects in order to estimate a topological model of the environment based only on neighbor-to-neighbor interactions.
Keywords
mobile robots; motion control; path planning; biological platforms; cockroaches; communication; control input; coordinate free sensory data; cyborg-insect networks; emergency response; motion control; neighbor-to-neighbor interactions; topological map; Feature extraction; Measurement; Motion control; Robot kinematics; Robot sensing systems; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber-Physical Systems (ICCPS), 2014 ACM/IEEE International Conference on
Conference_Location
Berlin
Print_ISBN
978-1-4799-4931-1
Type
conf
DOI
10.1109/ICCPS.2014.6843729
Filename
6843729
Link To Document