Using dynamic optimization for reproducing the chameleon visual system

Ofir Avni, Francesco Borrellit, Gadi Katzir, Ehud Rivlin, Hector Rotstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a method for robust target tracking with a set of independent pan-tilt cameras which combines smooth pursuit and saccades. The approach is systematic and optimization-based, and was inspired by our understanding of the chameleon visual system. Explicit robust and minimum-time Model Predictive Control (MPC) theory is used for the design of the tracking control law. Experimental validation of the approach on a robotic chameleon head composed of two independent pan-tilt cameras is presented.

Original languageEnglish
Title of host publicationProceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1770-1775
Number of pages6
ISBN (Print)1424401712, 9781424401710
DOIs
StatePublished - 2006
Event45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, United States
Duration: 13 Dec 200615 Dec 2006

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference45th IEEE Conference on Decision and Control 2006, CDC
Country/TerritoryUnited States
CitySan Diego, CA
Period13/12/0615/12/06

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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