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Article
Peer-Review Record

Modeling-Based EMG Signal (MBES) Classifier for Robotic Remote-Control Purposes

Actuators 2022, 11(3), 65; https://doi.org/10.3390/act11030065
by Michele Gabrio Antonelli *, Pierluigi Beomonte Zobel, Francesco Durante and Mohammad Zeer
Reviewer 1: Anonymous
Reviewer 2:
Actuators 2022, 11(3), 65; https://doi.org/10.3390/act11030065
Submission received: 1 February 2022 / Revised: 18 February 2022 / Accepted: 21 February 2022 / Published: 22 February 2022

Round 1

Reviewer 1 Report

A suggestion from me is to consider revising the title. Reading the paper, the contribution is not specific for pneumatic muscles or pick and place taks.

The work presents an interesting and robust strategy to identify different commands through EMG signals.

However a question arises. People conducting similar researches, usually aims the robot reproducing exactly the motion executed by the humam operator. However, according to the proposed strategy, the human operator should execute a pre-defined motions, each motion representing a certain motion of the robot.

Here, someone can ask: why not using a simple joystick to command a motion? Evidently, there are specific interests in using EMG. The second suggestion from me is to add explanations about this aspect. 

Author Response

Please see the attachment.

 

Author Response File: Author Response.pdf

Reviewer 2 Report

I found this paper remarkably interesting.

For more remarks, please enter the enclosed file.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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