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| Content Provider | ACM Digital Library |
|---|---|
| Author | Goh, Wooi-Boon Wang, Wenjie |
| Abstract | This paper presents the design of an offline collision-free path planning algorithm for multiple mobile robots travelling simultaneously on a 2D gridded map. We first solved this problem by extending the traditional A* algorithm into 3D, namely two spatial and one time dimensions. This 3D approach is proved computationally costly and this led to the development of a novel and faster Spatio-Temporal (S-T) A* algorithm. This is a modified A* algorithm, which uses discrete time stamps and a temporal occupancy table to communicate previously planned routes and potential collision among robots. We further adapted the S-T A* algorithm to allow robots to stop and wait near nodes where potential collision is detected in order to increase their probability of finding a viable path to their destination. Using a time-based objective function that requires all robots in the environment to reach their respective destination in the shortest possible time, this decoupled planning strategy was done using a fixed priority based on the slowest robot first. Another variant using an adaptive priority scheme was then introduced to improve the success rate of finding a viable path for all robots as the number of robots in the fixed-sized environment increased. We present experimental results comparing the performance of the various path planning and priority schemes. |
| Starting Page | 313 |
| Ending Page | 329 |
| Page Count | 17 |
| ISBN | 9783642272158 |
| ISSN | 03029743 |
| DOI | 10.1007/978-3-642-27216-5_22 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-05-02 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | A* algorithms Multi-robot path planning Offline path planning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computer Science |
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