Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm

L. Liu, D. Shell
2010 Robotics: Science and Systems VI  
We consider the problem of multi-robot taskallocation when robots have to deal with uncertain utility estimates. Typically an allocation is performed to maximize expected utility; we consider a means for measuring the robustness of a given optimal allocation when robots have some measure of the uncertainty (e.g., a probability distribution, or moments of such distributions). We introduce a new O(n 4 ) algorithm, the Interval Hungarian algorithm, that extends the classic Kuhn-Munkres Hungarian
more » ... gorithm to compute the maximum interval of deviation (for each entry in the assignment matrix) which will retain the same optimal assignment. This provides an efficient measurement of the tolerance of the allocation to the uncertainties, for both a specific interval and a set of interrelated intervals. We conduct experiments both in simulation and with physical robots to validate the approach and to gain insight into the effect of location uncertainty on allocations for multi-robot multi-target navigation tasks.
doi:10.15607/rss.2010.vi.016 dblp:conf/rss/LiuS10 fatcat:wnk5r6ec2zecvp5jtufwpvn43u