The final thesis presents the impact of agricultural production system parameter values on
the efficiency of energy management strategies for a fleet of autonomous robots. Using a
simulation environment, a series of simulations was conducted to analyze how technical and
environmental parameters — such as robot speed, battery capacity, field geometry, field
layout, and the position of charging stations — affect fleet performance. The results provide
a comparison of the robustness and sensitivity of charging strategies in heterogeneous
environments and highlight the critical parameters of agricultural systems. The findings
confirm the utility of the developed analytical framework for optimizing the operation of
agricultural robotic fleets.
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