  We consider the problem of finding a low-cost allocation and ordering of
tasks between a team of robots in a d-dimensional, uncertain, landscape, and
the sensitivity of this solution to changes in the cost function. Various
algorithms have been shown to give a 2-approximation to the MinSum allocation
problem. By analysing such an auction algorithm, we obtain intervals on each
cost, such that any fluctuation of the costs within these intervals will result
in the auction algorithm outputting the same solution.
