Grasp Posture Control of Wearable Extra Robotic Fingers with Flex Sensors Based on Neural Network

Grasp Posture Control of Wearable Extra Robotic Fingers with Flex Sensors Based on Neural Network

This study proposes a data-driven control method of extra robotic fingers to assist a user in bimanual object manipulation that requires two hands. The robotic system comprises two main parts, i.e., robotic thumb (RT) and robotic fingers (RF). The RT is attached next to the user’s thumb, while the R...

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Bibliographic Details
Main Authors: Joga Dharma Setiawan, Mochammad Ariyanto, M. Munadi, Muhammad Mutoha, Adam Glowacz, Wahyu Caesarendra
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Electronics
Subjects:
data-driven control method
extra robotic fingers
flex sensor
force-sensitive resistor
neural network
bimanual manipulation
Online Access:https://www.mdpi.com/2079-9292/9/6/905

Internet

https://www.mdpi.com/2079-9292/9/6/905

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