Robot Motion Planning
Coverage for robotics – A survey of recent results
Annals of Mathematics and Artificial Intelligence
Planning Algorithms
Voronoi diagram in optimal path planning
ISVD '07 Proceedings of the 4th International Symposium on Voronoi Diagrams in Science and Engineering
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Coverage path planning algorithms for agricultural field machines
Journal of Field Robotics
Lawn Mowing System for Known Areas
CIMCA '08 Proceedings of the 2008 International Conference on Computational Intelligence for Modelling Control & Automation
Algorithm for computer control of a digital plotter
IBM Systems Journal
Simultaneous task subdivision and allocation for teams of heterogeneous robots
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Computers and Electronics in Agriculture
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Aerial multi-robot systems are a robust remote sensing choice to collect environmental data from the Earth's surface. To accomplish this mission in a collaborative way, unmanned aerial vehicles must perform a full coverage trajectory over a target area while acquiring imagery of it. In this paper we address the multi coverage path planning problem with an aerial vehicles team. The approach proposed is hybrid, since is it is composed by an on-line and an off-line steps. This work is based on an optimal solution which is discretized to compute the coverage paths. This work proposes a multi coverage path planning solution making use of computer graphics tools in the world transformation from continuous to discrete, focusing on the aerial images acquisition. The workspace transformation from continuous to discrete is discussed and raster graphics based algorithms are employed.