MaximumOne: An anthropomorphic arm with bio-inspired control system

Michele Folgheraiter, Giuseppina Gini

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

3 Citations (Scopus)

Abstract

In this paper we present our bio-mimetic artificial arm and the simulation results on its low level control system. In accordance with the general view of the Biorobotics field we try to replicate the structure and the functionalities of the natural limb. The control system is organized in a hierarchical way, the low level control reproduces the human spinal reflexes and the high level control the circuits present in the cerebral motor cortex and the cerebellum. Simulation show how the system controls the single joint position reducing the stiffness during the movement.

Original languageEnglish
Title of host publicationBiomimetic Neural Learning for Intelligent Robots - Intelligent Systems, Cognitive Robotics, and Neuroscience
EditorsStefan Wermter, Mark Elshaw, Gunther Palm
Pages281-298
Number of pages18
DOIs
Publication statusPublished - Dec 1 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3575 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Folgheraiter, M., & Gini, G. (2005). MaximumOne: An anthropomorphic arm with bio-inspired control system. In S. Wermter, M. Elshaw, & G. Palm (Eds.), Biomimetic Neural Learning for Intelligent Robots - Intelligent Systems, Cognitive Robotics, and Neuroscience (pp. 281-298). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3575 LNAI). https://doi.org/10.1007/11521082_17