Abstract
The need to reduce bandwidth, improve productivity, autonomy and the scalability in multi-robot teleoperation has been recognized for a long time. In this article we propose a novel finite state machine mobile agent based on the network interaction service model, namely FS-MAS. This model consists of three finite state machines, namely the Finite State Mobile Agent (FS-Agent), which is the basic service module. The Service Content Finite State Machine (Content-FS), using the XML language to define workflow, to describe service content and service computation process. The Mobile Agent computation model Finite State Machine (MACM-FS), used to describe the service implementation. Finally, we apply this service model to the multi-robot system, the initial realization completing complex tasks in the form of multi-robot scheduling. This demonstrates that the robot has greatly improved intelligence, and provides a wide solution space for critical issues such as task division, rational and efficient use of resour...
Highlights
Teleoperation has been widely applied in a variety of situations, ranging from space exploration, inspections, robotic navigation, surveillance, underwater operations and rescue activities
In order to overcome the current deficiencies, in this paper, we propose a novel finite state machine based on the network interaction service model, namely FS‐multi‐agent systems (MAS)
By introducing the idea of data‐driven programming, using the basic tasks we defined before, the robot can combine them to complete more complex tasks, which have a certain independence and reusability. This model consists of three finite state machines, namely Finite State Mobile Agent (FS‐Agent), which is the basic service module
Summary
Teleoperation has been widely applied in a variety of situations, ranging from space exploration, inspections, robotic navigation, surveillance, underwater operations and rescue activities. In order to overcome the current deficiencies, in this paper, we propose a novel finite state machine based on the network interaction service model, namely FS‐MAS This model imports Agent as a solution for resource sharing and use which can automatically search for resources and automatically run the tasks. By introducing the idea of data‐driven programming, using the basic tasks we defined before, the robot can combine them to complete more complex tasks, which have a certain independence and reusability This model consists of three finite state machines, namely Finite State Mobile Agent (FS‐Agent), which is the basic service module. We apply this service model to the multi‐robot system, the initial realization completing complex tasks in the form of multi‐robot scheduling This demonstrates that robots have improved in intelligence, providing a wide solution space for critical issues such as task division, rational and efficient use of resource and multi‐robot collaboration.
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