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Online Coverage Path Planning for a Mobile Robot Considering Energy Consumption

Marcel Mitschke, Naoki Uchiyama, Oliver Sawodny

发表年份
2018
引用次数
15

摘要

An efficient coverage path planning (CPP) algorithm for a mobile robot is required in particular for outdoor area cleaning and mowing tasks. CPP is impeded by a high number of possible solutions and dependency to environmental change, which require algorithms that enables to provide short computation time or run online while covering whole area. In addition, because a mobile robot has generally a limited battery capacity, an energy optimal solution is expected for outdoor tasks. This paper proposes two CPP algorithms that consider energy consumption of a mobile robot with/without knowledge of environment. Energy consumption, required motion time and path length, and computation time of the proposed algorithms are compared with two existing methods by simulation.

关键词

Mobile robotEnergy consumptionMotion planningComputer scienceComputationRobotDependency (UML)Path (computing)Real-time computingEnergy (signal processing)

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