DARP: Divide Areas Algorithm for Optimal Multi-Robot Coverage Path Planning

Author:

Kapoutsis Athanasios Ch.,Chatzichristofis Savvas A.,Kosmatopoulos Elias B.

Funder

Horizon 2020

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Reference39 articles.

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2. Mixed integer linear programming (milp) solver, software. http://lpsolve.sourceforge.net/ . Accessed: 2016-4-1

3. The area partitioning problem. In: Proceedings of the 12th Canadian Conference on Computational Geometry, Fredericton, New Brunswick, Canada (2000)

4. Acar, E., Zhang, Y., Choset, H., Schervish, M., Costa, A.G., Melamud, R., Lean, D.C., Graveline, A.: Path planning for robotic demining and development of a test platform. In: International Conference on Field and Service Robotics, vol. 1, pp 161–168 (2001)

5. Agmon, N., Hazon, N., Kaminka, G., et al.: Constructing spanning trees for efficient multi-robot coverage. In: Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006, pp 1698–1703. IEEE (2006)

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