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 |
|---|---|
| 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 |
|---|---|
| Publisher | AAAI Press |
| ISSN (Print) | 2334-0835 |
Conference
| Conference | 27th International Conference on Automated Planning and Scheduling 2017 |
|---|---|
| Abbreviated title | ICAPS 2017 |
| Country/Territory | United States |
| City | Pittsburgh |
| Period | 18/06/17 → 23/06/17 |
| Internet address |
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Dive into the research topics of 'Integrating Mission and Task Planning in an Industrial Robotics Framework'. Together they form a unique fingerprint.Profiles
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Ron Petrick
- School of Mathematical & Computer Sciences - Professor
- School of Mathematical & Computer Sciences, Computer Science - Professor
Person: Academic (Research & Teaching)
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