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Article
Peer-Review Record

Reinforcement Learning-Based Adaptive Position Control Scheme for Uncertain Robotic Manipulators with Constrained Angular Position and Angular Velocity

Appl. Sci. 2023, 13(3), 1275; https://doi.org/10.3390/app13031275
by Zhihang Xie * and Qiquan Lin
Reviewer 1:
Reviewer 2: Anonymous
Appl. Sci. 2023, 13(3), 1275; https://doi.org/10.3390/app13031275
Submission received: 6 December 2022 / Revised: 11 January 2023 / Accepted: 16 January 2023 / Published: 18 January 2023

Round 1

Reviewer 1 Report

Authors concentrate on the one approach, i.e. fuzzy one. They mention also different ones as SMC, NN and DOB. Some comparisons could beneficial. Some comparison is done only with NN, what about the others.

 

In the Example section, Case 1 with no uncertainty is much less imprtant than Case 2 and may be shortened to the minimum.

The results are confirmed only by simulations, which always limits the believe to them. Authors should try to do some real experiments to confirm them, which could be published later on.

Some small issues re Engleish, why do you use large letter W in Where below equations where the sentence is not finished.

Author Response

Please see the attachment

Author Response File: Author Response.docx

Reviewer 2 Report

Please see in the attached file.

Comments for author File: Comments.pdf

Author Response

Please see the attachment

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

I see that now the paper is much better presented.

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