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In this paper, an algorithm that acquires the intermediate goals between the initial and goal states is proposed for an agent executing multiple tasks. We demonstrate the algorithm in the problem of rearranging multiple objects. The result shows that the moving distance to transfer the entire objects to their goal configuration is 1/15 of that without using intermediate goals. We experiment using a real robot to confirm that the intermediate goal can be adapted to a real environment. Our experimental results showed that an agent could adapt the intermediate goals, which were acquired in the simulation, to the experimental environment
Published in:
Robotics, IEEE Transactions on
(Volume:22
,
Issue:
5
)
Date of Publication: Oct. 2006
- Page(s):
- 1034 - 1040
- ISSN :
- 1552-3098
- INSPEC Accession Number:
- 9103554
- Digital Object Identifier :
- 10.1109/TRO.2006.878969
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 02 October 2006
- Issue Date :
- Oct. 2006
- Sponsored by :
- IEEE Robotics and Automation Society
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