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Efficient bids on task allocation for multi-robot exploration
Sanem Sariel
*
, Tucker Balch
*
Corresponding author for this work
Department of Artificial Intelligence and Data Engineering
Georgia Institute of Technology
College of Computing
Research output
:
Contribution to conference
›
Paper
›
peer-review
41
Citations (Scopus)
Overview
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Keyphrases
Task Allocation
100%
Robot Exploration
100%
Bid Evaluation
100%
Allocation Method
66%
Integer Programming
66%
Total Path Length
66%
Evaluation Strategy
66%
Programming Approaches
66%
NP-hard
33%
Computationally Expensive
33%
Online Tasks
33%
Multiple Traveling Salesman Problem
33%
Exploration Problem
33%
Auction-based
33%
Single-item Auction
33%
Initial Allocation
33%
Mission Change
33%
Task Allocation Method
33%
Hard multiple
33%
Computer Science
multiple robot
100%
Allocation Method
100%
Robot
66%
Integer Programming
66%
Heuristic Evaluation
33%
Traveling Salesman Problem
33%
Experimental Result
33%