A Single Operator Implementation of Task BasedMultiple Unmanned Vehicle

Abstract

Automation has greatly reduced operator workload and generally enhanced safety in supervisory control settings. There has recently been a significant amount of activity in developing supervisory control algorithms for multiple unmanned vehicle operation by a single operator. In the both military and commercial sectors there has been significant research and development in the field of unmanned vehicles. The objective of this paper is use to control multiple UV’s using single operator by RESCHU software. RESCHU (Research Environment for Supervisory Control of Homogeneous Unmanned vehicles) which allows a single operator have the ability to control multiple UVs. This paper approaches two methods namely Vehicle-Based control (where a single operator individually assigns tasks to unmanned assets) and Task-Based control (where the operator generates a task list, which is then given to the group of vehicles that determine how to best divide the tasks among themselves). The proposed framework incorporates (i) sensor constraints, such as processing/travel time, and (ii) task constraints, such as prioritization. These results have implications for the design of future human-UV systems, as well as more general multiple task supervisory control models.