BRAIN: A Low-Power Deep Search Engine for Autonomous Robots

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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.
Publisher
IEEE COMPUTER SOC
Issue Date
2017-09
Language
English
Article Type
Article
Citation

IEEE MICRO, v.37, no.5, pp.11 - 19

ISSN
0272-1732
DOI
10.1109/MM.2017.3711641
URI
http://hdl.handle.net/10203/226842
Appears in Collection
EE-Journal Papers(저널논문)
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