In this paper, we present an innovative use of multi-robot systems in a precision farming application proposed in the European project 'CANOPIES'. The considered scenario is then formalized identifying a real-time scheduling problem that needs to be solved for the efficient use of the multi-robot platform. A solution to the proposed real-time scheduling problem is first identified by proposing a mixed integer linear programming (MILP) problem formulation which is iteratively solved within a receding horizon time window. Then, we propose a polynomial time optimal algorithm able to solve a simplified but relevant scenario of the proposed multi-robot scheduling problem. Numerical examples are presented to corroborate the formal analysis of the proposed algorithm.
Furchi, A., Franceschelli, M., Gasparri, A. (2024). A MILP Scheduling Problem for Multi-Robot Logistics Systems in a Precision Farming Application and a Polynomial Time Optimal Algorithm. In 2024 32nd Mediterranean Conference on Control and Automation, MED 2024 (pp.664-669). Institute of Electrical and Electronics Engineers Inc. [10.1109/MED61351.2024.10566245].
A MILP Scheduling Problem for Multi-Robot Logistics Systems in a Precision Farming Application and a Polynomial Time Optimal Algorithm
Gasparri A.
2024-01-01
Abstract
In this paper, we present an innovative use of multi-robot systems in a precision farming application proposed in the European project 'CANOPIES'. The considered scenario is then formalized identifying a real-time scheduling problem that needs to be solved for the efficient use of the multi-robot platform. A solution to the proposed real-time scheduling problem is first identified by proposing a mixed integer linear programming (MILP) problem formulation which is iteratively solved within a receding horizon time window. Then, we propose a polynomial time optimal algorithm able to solve a simplified but relevant scenario of the proposed multi-robot scheduling problem. Numerical examples are presented to corroborate the formal analysis of the proposed algorithm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.