Abstract
Logistics operations are among the main activities in industrial production areas. Today, vehicles that are usually electric and manually operated by a driver are used to perform these operations. Logistics robots are an important alternative that can be used in this field, and their use in integration with cyber physical systems in industrial fields is increasingly common. The biggest advantage of the logistics robots is that they provide autonomous driving capabilities and optimum parameters for the entire system in accordance with industry 4.0 concept. In this study, an adaptive logistics robot system that can be integrated into the Cyber Physical System (CPS) system in an environment with cyber physical system infrastructure has been developed. In this context, positioning, path planning, multi-task allocation, energy management, task prioritization, optimization and obstacle avoidance issues are analyzed and simple solutions are proposed. The experiments have been carried out in eight different configurations and the average distance and energy costs have been improved by 5.1% and 6.6%, respectively.
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