Control of a robot leg with an adaptive aVLSI CPG chip

M. Anthony Lewis, Mitra J. Hartmann, Ralph Etienne-Cummings, Avis H. Cohen

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

The rhythmic locomotion of animals, such as walking, swimming, and flying, is controlled by group of neurons called central pattern generators (CPGs). CPGs can autonomously produce rhythmic output, but under normal biological conditions make extensive use of peripheral sensory feedback. Models of CPGs have been used to control robot locomotion, but none of these models have incorporated sensory feedback adaptation. We have constructed an adaptive CPG in an analog VLSI chip, and have used the chip to control a running robot leg. We show that adaptation based on sensory feedback permits a stable gait even in an underactuated condition: the leg can be driven using a hip actuator alone while the knee is purely passive.

Original languageEnglish (US)
Pages (from-to)1409-1421
Number of pages13
JournalNeurocomputing
Volume38-40
DOIs
StatePublished - Jun 2001

Keywords

  • Adaptive control
  • Central pattern generator
  • Locomotion
  • Neuromorphic engineering
  • Sensorimotor integration

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Control of a robot leg with an adaptive aVLSI CPG chip'. Together they form a unique fingerprint.

Cite this