TY - GEN
T1 - The power-tethered UAV-UGV team
T2 - 22nd Mediterranean Conference on Control and Automation, MED 2014
AU - Papachristos, Christos
AU - Tzes, Anthony
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/18
Y1 - 2014/11/18
N2 - This paper presents the concept of an unmanned robotic team, consisting of an aerial and a ground vehicle, and a power-tethering physical link between them, and proposes a strategy that addresses their collaborative navigation problem. The purpose of such a team is to exploit the technical advantages of differentiated unmanned vehicle classes in an approach that benefits the global navigation objective, but with each agent also directly benefiting from the capabilities of the other at an operational level. This conceptual team aims to address the challenge of prolonged autonomous navigation within environments, for which a limited amount of information is available prior to deployment. To this end, the team works its way through the map, while incrementally exploring and rebuilding the actual environment structure, relying on sampling-based trajectory planning techniques and a 2×2-Dimensional decomposed manifold model of its workspace. A challenging environment model is formulated for simulation purposes of the proposed approach, and the respective results are provided.
AB - This paper presents the concept of an unmanned robotic team, consisting of an aerial and a ground vehicle, and a power-tethering physical link between them, and proposes a strategy that addresses their collaborative navigation problem. The purpose of such a team is to exploit the technical advantages of differentiated unmanned vehicle classes in an approach that benefits the global navigation objective, but with each agent also directly benefiting from the capabilities of the other at an operational level. This conceptual team aims to address the challenge of prolonged autonomous navigation within environments, for which a limited amount of information is available prior to deployment. To this end, the team works its way through the map, while incrementally exploring and rebuilding the actual environment structure, relying on sampling-based trajectory planning techniques and a 2×2-Dimensional decomposed manifold model of its workspace. A challenging environment model is formulated for simulation purposes of the proposed approach, and the respective results are provided.
UR - http://www.scopus.com/inward/record.url?scp=84916941548&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84916941548&partnerID=8YFLogxK
U2 - 10.1109/MED.2014.6961531
DO - 10.1109/MED.2014.6961531
M3 - Conference contribution
AN - SCOPUS:84916941548
T3 - 2014 22nd Mediterranean Conference on Control and Automation, MED 2014
SP - 1153
EP - 1158
BT - 2014 22nd Mediterranean Conference on Control and Automation, MED 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 June 2014 through 19 June 2014
ER -