Abstract
Autonomous control in logistics has different perspectives. Its application is composed of the technology that enables autonomous control on the one hand and the methods that define how the autonomous units act on the other hand. Both are prerequisite components of autonomous control in logistics. This section focuses on challenges related to autonomous control methods. A narrow view on these methods describes them as “generic algorithms that describe how logistics objects render and execute decisions by their own” [3]. In a broader sense, methodical aspects of autonomous control in logistics involve the selection of the respective autonomous agents within the logistic system, the determination of their goals [1], and the modeling of autonomous control strategy (e.g. in terms of a framework). This also includes the previously mentioned algorithms, the autonomous control methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
