Cerebellum-inspired neural network solution of the inverse kinematics problem

DOI10.1007/s00422-015-0661-7zbMath1345.92011OpenAlexW1829701521WikidataQ42130769 ScholiaQ42130769MaRDI QIDQ310154

Christian Darlot, Mehran Solati-Hashjin, Mohammad Mehdi Ebadzadeh, Noor Azuan Abu Osman, Mitra Asadi-Eydivand

Publication date: 8 September 2016

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-015-0661-7

zbMATH Keywords

inverse kinematicsfuzzy neural networkrobot manipulatorbioinspired modelcerebellar cortexcerebellar neural network

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (3)

A possible correlation between the basal ganglia motor function and the inverse kinematics calculation ⋮ Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay ⋮ Inverse kinematics of a 7R 6-DOF robot with nonspherical wrist based on transformation into the 6R robot

Cites Work

• Unnamed Item
• A hierarchical neural-network model for control and learning of voluntary movement
• A genetic algorithm approach to a neural-network-based inverse kinematics solution of robotic manipulators based on error minimization
• Forward models for physiological motor control
• Artificial neural network-based kinematics Jacobian solution for serial manipulator passing through singular configurations
• Data Storage in the Cerebellar Model Articulation Controller (CMAC)
• A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
• Fuzzy systems as universal approximators

This page was built for publication: Cerebellum-inspired neural network solution of the inverse kinematics problem