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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kamio, S. Iba, H. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Frontier Inf., Tokyo Univ., Chiba (Kamio, S.) |
| Abstract | The multi-agent cooperation has been proved useful in executing many complex tasks. In our previous paper, we proposed a path planning algorithm based on a random sampling for the sake of the multi-agent cooperation. However, the action path of the robots is liable to be deviated by the noise in the real world. Thus, some correction mechanism is required to reduce the differences between the planned path and the real one. In this paper, we propose a re-planning method to solve the above-mentioned difficulty. The applicability of this method is confirmed with the experiment using two humanoid robots, in which they have re-generated path plans according to their locations detected by their own cameras |
| Starting Page | 2608 |
| Ending Page | 2613 |
| File Size | 455207 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424402581 |
| DOI | 10.1109/IROS.2006.281939 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humanoid robots Path planning Robotics and automation Robot sensing systems Orbital robotics Working environment noise Robot vision systems Cameras Informatics Sampling methods |
| Content Type | Text |
| Resource Type | Article |
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