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| Content Provider | Springer Nature Link |
|---|---|
| Author | Undeger, Cagatay Polat, Faruk |
| Copyright Year | 2006 |
| Abstract | In this paper we propose a real-time search algorithm called Real-Time Target Evaluation Search (RTTES) for the problem of searching a route in grid worlds from a starting point to a static or dynamic target point in real-time. The algorithm makes use of a new effective heuristic method which utilizes environmental information to successfully find solution paths to the target in dynamic and partially observable environments. The method requires analysis of nearby obstacles to determine closed directions and estimate the goal relevance of open directions in order to identify the most beneficial move. We compared RTTES with other competing real-time search algorithms and observed a significant improvement on solution quality. |
| Starting Page | 113 |
| Ending Page | 129 |
| Page Count | 17 |
| File Format | |
| ISSN | 0924669X |
| Journal | Applied Intelligence |
| Volume Number | 27 |
| Issue Number | 2 |
| e-ISSN | 15737497 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2006-11-13 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Real-time search Path planning Manufacturing, Machines, Tools Mechanical Engineering Artificial Intelligence (incl. Robotics) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence |
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