BRAIN: A Low-Power Deep Search Engine for Autonomous Robots
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Youchang | ko |
| dc.contributor.author | Shin, Dongjoo | ko |
| dc.contributor.author | Lee, Jinsu | ko |
| dc.contributor.author | Yoo, Hoi-Jun | ko |
| dc.date.accessioned | 2017-11-08T05:05:44Z | - |
| dc.date.available | 2017-11-08T05:05:44Z | - |
| dc.date.created | 2017-10-30 | - |
| dc.date.created | 2017-10-30 | - |
| dc.date.created | 2017-10-30 | - |
| dc.date.issued | 2017-09 | - |
| dc.identifier.citation | IEEE MICRO, v.37, no.5, pp.11 - 19 | - |
| dc.identifier.issn | 0272-1732 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/226842 | - |
| dc.description.abstract | The authors propose a low-power deep search engine called BRAIN for real-time path planning of intelligent autonomous robots. BRAIN adopts a multithreaded core architecture with a transposition table cache to avoid duplicated searches between processors deep in the search tree. It achieves a fast search speed and low energy consumption and was successfully applied to autonomous navigation robots in dynamic environments. | - |
| dc.language | English | - |
| dc.publisher | IEEE COMPUTER SOC | - |
| dc.title | BRAIN: A Low-Power Deep Search Engine for Autonomous Robots | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000413024800003 | - |
| dc.identifier.scopusid | 2-s2.0-85032264468 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 37 | - |
| dc.citation.issue | 5 | - |
| dc.citation.beginningpage | 11 | - |
| dc.citation.endingpage | 19 | - |
| dc.citation.publicationname | IEEE MICRO | - |
| dc.identifier.doi | 10.1109/MM.2017.3711641 | - |
| dc.contributor.localauthor | Yoo, Hoi-Jun | - |
| dc.contributor.nonIdAuthor | Lee, Jinsu | - |
| dc.description.isOpenAccess | N | - |
| dc.type.journalArticle | Article | - |
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