Integrating Mission and Task Planning in an Industrial Robotics Framework
Crosby, Matthew (Heriot-Watt University) | Petrick, Ronald P. A. (Heriot-Watt University) | Rovida, Francesco (Aalborg University Copenhagen) | Krueger, Volker (Aalborg University Copenhagen)
This paper presents a framework developed for an industrial robotics system that utilises two different planning components. At a high level, a multi-robot mission planner interfaces with a fleet and environment manager and uses multiagent planning techniques to build mission assignments to be distributed to a robot fleet. On each robot, a task planner automatically converts the robot's world model and skill definitions into a planning problem which is then solved to find a sequence of actions that the robot should perform to complete its mission. This framework is demonstrated on an industrial kitting task in a real-world factory environment.
Jun-14-2017
- Country:
- North America > United States
- Massachusetts (0.04)
- Europe
- United Kingdom > Scotland (0.04)
- Switzerland > Vaud
- Lausanne (0.04)
- Denmark
- North Jutland > Aalborg (0.04)
- Capital Region > Copenhagen (0.04)
- North America > United States
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