TY - CHAP
T1 - Multi-robot task allocation for performing cooperative foraging tasks in an initially unknown environment
AU - Dasgupta, Prithviraj
PY - 2011
Y1 - 2011
N2 - We consider the problem of multi-robot task allocation (MRTA) by a set of robots that are deployed in an initially unknown environment to perform foraging tasks. The location of each task has to be discovered by each robot through searching in the environment. Each task also requires multiple robots to share the task's execution to complete the task. We discuss an emergent, distributed MRTA algorithm and describe a set of heuristics that can be used by the MRTA algorithm to select the order of the tasks so that the tasks are performed in an efficient manner. The heuristics are evaluated using simulated robots on the Webots simulator to analyze their relative performance.
AB - We consider the problem of multi-robot task allocation (MRTA) by a set of robots that are deployed in an initially unknown environment to perform foraging tasks. The location of each task has to be discovered by each robot through searching in the environment. Each task also requires multiple robots to share the task's execution to complete the task. We discuss an emergent, distributed MRTA algorithm and describe a set of heuristics that can be used by the MRTA algorithm to select the order of the tasks so that the tasks are performed in an efficient manner. The heuristics are evaluated using simulated robots on the Webots simulator to analyze their relative performance.
UR - http://www.scopus.com/inward/record.url?scp=79952179797&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952179797&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17764-4_2
DO - 10.1007/978-3-642-17764-4_2
M3 - Chapter
AN - SCOPUS:79952179797
SN - 9783642177637
T3 - Studies in Computational Intelligence
SP - 5
EP - 20
BT - Innovations in Defence Support Systems -2
A2 - Jain, Lakhmi
A2 - Aidman, Eugene
A2 - Aidman, Eugene
A2 - Abeynayake, Canicious
ER -