Context‐ and Self‐Awareness for Human‐Agent‐Robot Task Coordination

This chapter uses context‐awareness to develop a human‐agent‐robot teamwork (HART)‐centric task coordination algorithm that minimizes the completion time of physical/digital tasks as well as operational expenditures by spreading ownership of robots across mobile users. It describes the considered fiber‐wireless‐based Tactile Internet infrastructures for HART‐centric task coordination in greater detail, followed by motion and energy consumption models for mobile robots (MRs). The chapter also describes the development of multiobjective optimization problem considering characteristics and key parameters of MRs and tasks, which is subsequently solved by proposed HART‐centric context‐aware multi‐robot task coordination algorithm. It presents the self‐aware optimal motion planning algorithm. The delay and reliability analysis is also presented. The chapter reports on the obtained results and findings.