Sensorimotor Control Using Adaptive Neuro-Fuzzy Inference for Human-Like Arm Movement

Sensorimotor Control Using Adaptive Neuro-Fuzzy Inference for Human-Like Arm Movement

In this study, a sensorimotor controller is designed to characterize the required muscle force to enable a robotics system to perform a human-like circular movement. When the appropriate muscle internal forces are chosen, the arm end-point tracks the desired path via joint-space feedback. An objecti...

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Bibliographic Details
Main Authors: Gokhan Gungor, Mehdi Afshari
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Applied Sciences
Subjects:
sensorimotor control
adaptive neuro-fuzzy inference system
human-like movement
Online Access:https://www.mdpi.com/2076-3417/14/7/2974

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