IEEE Robotics & Automation Magazine - December 2010 - 70

Heterogeneous, Multiple
Depot, Multiple UAV
Routing Problem

BY PAUL OBERLIN,
SIVAKUMAR RATHINAM,
AND SWAROOP DARBHA

© LUSHPIX

H

eterogeneous unmanned aerial vehicles (UAVs) are being developed for several civil
and military applications. These vehicles can differ either in their motion constraints or
sensing/attack capabilities. This article uses methods from operations research to
address a fundamental routing problem involving heterogeneous UAVs. The approach is to transform the routing problem into a relatively better understood single,
asymmetric, traveling salesman problem (ATSP) and use the algorithms available for the ATSP to
address the routing problem. To test the effectiveness of the transformation, the well-known
Lin-Kernighan-Helsgaun heuristic was applied to the transformed ATSP. Computational results
on the transformed ATSP show that solutions whose costs are within 16% of the optimum can
be obtained relatively fast [within 40 s of central processing unit (CPU)] for the routing problem
involving ten heterogeneous UAVs and 40 targets.
UAVs are being developed for several civil and military applications for surveillance purposes.
In these applications, multiple heterogeneous UAVs with different sensing capabilities can be
used to accomplish a given mission. Apart from their differing sensing capabilities, the UAVs can
also have different motion constraints. A commonly encountered mission that is required to be
carried out by a team of heterogeneous UAVs is an intelligence, surveillance, and reconnaissance
mission where a set of targets needs to be monitored. For example, in the Cooperative Operations in Urban Terrain project [1] at the Air Force Research Laboratory, a collection of UAVs is
required to gather information/video about a set of potential targets and transmit them to an
Digital Object Identifier 10.1109/MRA.2010.938844

70

IEEE Robotics & Automation Magazine

1070-9932/10/$26.00ª2010 IEEE

DECEMBER 2010



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