Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the 27th International Conference on Automated Planning and Scheduling |
Publisher | AAAI Press |
Pages | 471-479 |
Number of pages | 9 |
ISBN (Electronic) | 9781577357896 |
Publication status | Published - 18 Jun 2017 |
Event | 27th International Conference on Automated Planning and Scheduling 2017 - Pittsburgh, United States Duration: 18 Jun 2017 → 23 Jun 2017 http://icaps17.icaps-conference.org/ |
Publication series
Name | International Conference on Automated Planning and Scheduling |
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Publisher | AAAI Press |
ISSN (Print) | 2334-0835 |
Conference
Conference | 27th International Conference on Automated Planning and Scheduling 2017 |
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Abbreviated title | ICAPS 2017 |
Country/Territory | United States |
City | Pittsburgh |
Period | 18/06/17 → 23/06/17 |
Internet address |
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Ron Petrick
- School of Mathematical & Computer Sciences - Professor
- School of Mathematical & Computer Sciences, Computer Science - Professor
Person: Academic (Research & Teaching)