Abstract
With the advent of Industry 4.0 era, employing a team of robots within a factory floor or a warehouse is pretty prevalent today as robots can perform a known task with higher accuracy and efficiency if its capability permits. Efficiency and throughput of such a setup depend on careful task assignment and scheduling, which further depend on utility calculation. Though there exists a number of techniques to perform efficient task allocation, they assume the utility values are available and static. They neither consider all the relevant parameters nor the dynamic changes that may occur during task execution. Moreover, methods of automating such dynamic utility calculation (both at the start and at runtime) based on knowledge and semantics are not present and this is a hindrance to building a fully automated robotic workforce. In this article, we explore an avenue of semantic-based dynamic utility calculation and showcase its application for a use-case.
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.
