ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-1-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 361–368, 2020
https://doi.org/10.5194/isprs-annals-V-1-2020-361-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 361–368, 2020
https://doi.org/10.5194/isprs-annals-V-1-2020-361-2020

  03 Aug 2020

03 Aug 2020

MULTI-AGENT PATH PLANNING OF ROBOTIC SWARMS IN AGRICULTURAL FIELDS

N. Botteghi1, A. Kamilaris2,3, L. Sinai1, and B. Sirmacek4 N. Botteghi et al.
  • 1Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, The Netherlands
  • 2Research Centre on Interactive Media, Smart Systems and Emerging Technologies (RISE), Nicosia, Cyprus
  • 3Faculty of Electric Engineering, Mathematics and Computer Science, University of Twente, The Netherlands
  • 4Computer Science and Informatics, School of Engineering, Jönköping University, Sweden

Keywords: Robotic swarms, Agriculture, Optimization, Path Planning, Multiple agents

Abstract. Collaborative swarms of robots/UAVs constitute a promising solution for precision agriculture and for automatizing agricultural processes. Since agricultural fields have complex topologies and different constraints, the problem of optimized path routing of these swarms is important to be tackled. Hence, this paper deals with the problem of optimizing path routing for a swarm of ground robots and UAVs in different popular topologies of agricultural fields. Four algorithms (Nearest Neighbour based on K-means clustering, Christofides, Ant Colony Optimisation and Bellman-Held-Karp) are applied on various farm types commonly found around Europe. The results indicate that the problem of path planning and the corresponding algorithm to use, are sensitive to the field topology and to the number of agents in the swarm.