scholarly journals Neural Networks for Multi-Finger Robot Hand Control

2008 ◽  
Vol 19 (1) ◽  
pp. 19-42 ◽  
Author(s):  
E. Al-Gallaf
1989 ◽  
Vol 9 (3) ◽  
pp. 38-43 ◽  
Author(s):  
H. Liu ◽  
T. Iberall ◽  
G.A. Bekey

2000 ◽  
Vol 2000.1 (0) ◽  
pp. 467-468
Author(s):  
Haruhisa KAWASAKI ◽  
Tatsuhisa ABE ◽  
Tetsuya MOURI ◽  
Kazunao UTIYAMA

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Parvatini Sri Naga Venkat ◽  
A. Srinath ◽  
Gurram Narendra Santosh Kumar ◽  
P. Vijay ◽  
Rentala Venkatesh

PurposeThe design of robot hand for writing and correction assistant applications work will be partially replaced as to develop the remote-assisted robot hand control needed to manipulate all this kind of work. As it is stress and strain full job for all teachers, which needs to bring a sustainable solution, hence robot hand which resembles the human hand which is teleoperated with the remote control is designed.Design/methodology/approachThis work presents the design and simulation of a robot hand for correction assistant applications. To replace the work partially especially for the teachers who are undergoing the paper correction work like putting tick mark, cross mark, allocation of marks, etc.FindingsIn this paper the design of the same and its simulation of writing the horizontal line, vertical line and writing number two is presented, in further research, a prototype model and its analysis will be done.Originality/valueThe design is been done using the modelling software Creo 5.4 where the design will be used to print the prototype model which is physical using 3D printing technology and controlling and testing will be done on the same prototype model using simple Arduino.


2002 ◽  
Vol 14 (2) ◽  
pp. 162-169 ◽  
Author(s):  
Hideo Kitagawa ◽  
◽  
Tomomi Terai ◽  
Panya Minyong ◽  
Kazuhiko. Terashima ◽  
...  

A massage expert using a humanoid robot hand is constructed, and motion control using neural networks (NNs), teaching of fingertip pressure in massage of the robot hand, and its reproduction of force are reported. Force exerted when an expert massages shoulders was detected using distribution pressure sensors, taught to the robot hand, and reproduced by it. It massaged with pressure safe for human beings and similar to an expert.


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