Using SVM to avoid humans: A case of a small autonomous mobile robot in an office

Emi Matsumoto, Michèle Sebag, Einoshin Suzuki

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

In this paper we construct a small, low-cost, autonomous mobile robot that avoids humans in an office. It applies an SVM classifier to each of 16 regions of interest in each picture taken by its camera mounted toward the ceiling. Experiments with 1 and 2 subjects with 3 kinds of velocities show encouraging results.

Original languageEnglish
Pages283-287
Number of pages5
DOIs
Publication statusPublished - Dec 1 2012
Event26th Annual International Symposium on Computer and Information Science, ISCIS 2011 - London, United Kingdom
Duration: Sep 26 2011Sep 28 2011

Other

Other26th Annual International Symposium on Computer and Information Science, ISCIS 2011
CountryUnited Kingdom
CityLondon
Period9/26/119/28/11

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Information Systems

Fingerprint Dive into the research topics of 'Using SVM to avoid humans: A case of a small autonomous mobile robot in an office'. Together they form a unique fingerprint.

  • Cite this

    Matsumoto, E., Sebag, M., & Suzuki, E. (2012). Using SVM to avoid humans: A case of a small autonomous mobile robot in an office. 283-287. Paper presented at 26th Annual International Symposium on Computer and Information Science, ISCIS 2011, London, United Kingdom. https://doi.org/10.1007/978-1-4471-2155-8-36