loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Michele Folgheraiter ; Giuseppina Gini and Massimo Cavallari

Affiliation: Politecnico di Milano, Italy

Keyword(s): Biorobotics, Artificial Arm, Neural Controller, Humanoids Robotics.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Neural Networks Based Control Systems

Abstract: In this paper we illustrate the architecture and the main features of a bio-inspired control system employed to govern an anthropomorphic artificial Arm. The manipulation system we developed was designed starting from a deeply study of the human limb from the anatomical, physiological and neurological point of view. In accordance with the general view of the Biorobotics field we try to replicate the structure and the functionalities of the natural limb. Thanks to this biomimetic approach we obtained a system that can perform movements similar to those of the natural limb. The control system is organized in a hierarchical way. The low level controller emulates the neural circuits located in the human spinal cord and is charged to reproduce the reflexes behaviors and to control the arm stiffness. The high level control system generates the arm trajectory performing the inverse kinematics and furnishing the instantaneous muscles reference position. In particular we implemented the Inve rse kinematic using a gradient based algorithm; at each step the actuators movements are arranged in order to decrease the distance between the wrist and the target position. Simulation and experimental results shows the ability of the control system in governing the arm to follow a predefined trajectory and to perform human like reflexes behaviors. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.116.85.72

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Folgheraiter, M.; Gini, G. and Cavallari, M. (2007). A NEURAL-CONTROL SYSTEM FOR A HUMANOID ARTIFICIAL ARM. In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-972-8865-82-5; ISSN 2184-2809, SciTePress, pages 119-126. DOI: 10.5220/0001620601190126

@conference{icinco07,
author={Michele Folgheraiter. and Giuseppina Gini. and Massimo Cavallari.},
title={A NEURAL-CONTROL SYSTEM FOR A HUMANOID ARTIFICIAL ARM},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2007},
pages={119-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001620601190126},
isbn={978-972-8865-82-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A NEURAL-CONTROL SYSTEM FOR A HUMANOID ARTIFICIAL ARM
SN - 978-972-8865-82-5
IS - 2184-2809
AU - Folgheraiter, M.
AU - Gini, G.
AU - Cavallari, M.
PY - 2007
SP - 119
EP - 126
DO - 10.5220/0001620601190126
PB - SciTePress