A reconfigurable sensor-data processing system for personal robots

Kazumasa Nukata, Yuiehiro Shibata, Hideharu Amano, Yuichiro Anzai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A reconfigurable sensor-data processing system for personal robots is proposed. This system consists of two reconfigurable units including Altera’s CPLDs which are directly connected with sensors, and is implemented on the interface board of a personal robot prototype ASPIRE-II. By treating digital raw data directly, flexible and precise processing can be achieved. In this system, the correlation function of data from ultrasonic sensor is computed about 20 times faster than that with the RISC processor in ASPIRE-II.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages491-500
Number of pages10
Volume1304
ISBN (Print)3540634657, 9783540634652
DOIs
Publication statusPublished - 1997
Event7th International Workshop on Field Programmable Logic and Applications, FPL 1997 - London, United Kingdom
Duration: 1997 Sep 11997 Sep 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1304
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Workshop on Field Programmable Logic and Applications, FPL 1997
CountryUnited Kingdom
CityLondon
Period97/9/197/9/3

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Nukata, K., Shibata, Y., Amano, H., & Anzai, Y. (1997). A reconfigurable sensor-data processing system for personal robots. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1304, pp. 491-500). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1304). Springer Verlag. https://doi.org/10.1007/3-540-63465-7_255