Litcius/Paper detail

Optimal UAV Route Planning for Persistent Monitoring Missions

Sai Krishna Kanth Hari, Sivakumar Rathinam, Swaroop Darbha, Krishna Kalyanam, Satyanarayana G. Manyam, David W. Casbeer

2020IEEE Transactions on Robotics52 citationsDOI

Abstract

This article addresses a persistent monitoring problem (PMP) that requires an unmanned aerial vehicle (UAV) to repeatedly visit n targets of equal priority. The UAV has limited onboard fuel/charge and must be regularly serviced at a depot. Given a fixed number of visits, k, for the UAV to the targets between successive services, the objective of the PMP is to determine an optimal sequence of visits such that the maximum time elapsed between successive visits to any target is minimized. This planning problem is a generalization of the traveling salesman problem and is NP-hard. We characterize the optimal solutions to this problem for different values of k and develop algorithms that can compute the optimal solutions relatively fast. Numerical results are also presented to corroborate the performance of the proposed approach.

Topics & Concepts

Travelling salesman problemGeneralizationRoute planningComputer scienceMotion planningSequence (biology)Mathematical optimizationReal-time computingOperations researchAlgorithmArtificial intelligenceEngineeringMathematicsRobotGeneticsBiologyMathematical analysisVehicle Routing Optimization MethodsOptimization and Search ProblemsRobotic Path Planning Algorithms