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Article
Peer-Review Record

Fuzzy Logic-Based Controller for Bipedal Robot

Appl. Sci. 2021, 11(24), 11945; https://doi.org/10.3390/app112411945
by Phan Bui Khoi * and Hong Nguyen Xuan
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Appl. Sci. 2021, 11(24), 11945; https://doi.org/10.3390/app112411945
Submission received: 22 November 2021 / Revised: 11 December 2021 / Accepted: 13 December 2021 / Published: 15 December 2021
(This article belongs to the Section Robotics and Automation)

Round 1

Reviewer 1 Report

The paper is well written and provide interesting research.

It will be good practice to mention the tolls and applications used for simulating the robot movement in 3D scenes.

Also it is not clear in the experiments, do you use simulation model in matlab, or you use the simulation shown in the figures.

There is repetition of same sentences. I mean for example that you say in the introduction that you will use Lagrange equations and repeat it again in section 3. Read and correct similar repetitions.

The results are adequate and show that the proposed fuzzy controller can be applied for control of bipedal robot.

 

Author Response

Dear reviewer,

We would like to thank you for your valuable comments and suggestions. In the revision, each and every comment or suggestion from you has been carefully considered and revised. The modifications in the revised manuscript are highlighted.
We hope that your positive comments and support will encourage us to continue to delve deeper into this still open problem.
Thank you again for your valuable contributions to make our manuscript better edited.
With best regards.

Author Response File: Author Response.pdf

Reviewer 2 Report

Overall, the readability of the paper is very poor. It is recommended to compress the length of the paper significantly, write a brief commonsense introduction, elaborate the innovation of your research, and focus on the fuzzy control method in the section 5.

  1. In the abstract, the details are not appropriate, and the research background takes up 2/3, so it is recommended to add the introduction of the proposed method.
  2. In the introduction, there are too many references to common sense and trends, and there is no in-depth discussion later. [1-8], [8-17], [18-23], [24-35].
  3. The nine papers from 36 to 44 are all on robot fuzzy control and are directly related to your research, but the introduction is too brief, please elaborate on the existing problems and the advantages of your proposed approach.
  4. In section 5, along with lines 475 to 509, the fuzzy controller has too much text for a popular science introduction, so we suggest abbreviating it.
  5. The discussion of the simulation results in section 6 is too simple, without quantitative evaluation indexes, showing a large number of graphs without absorbing relational analysis, and most critically, lacking comparison with other methods.
  6. Too little useful information in the conclusion section. In here you should include the potential application of your system towards enhancing the current state-of-the-art. You need to reiterate your primary contributions and future work.

Author Response

Dear reviewer,

We would like to thank you for your valuable comments and suggestions. In the revision, each and every comment or suggestion from you has been carefully considered and revised. The modifications in the revised manuscript are highlighted.
We hope that your positive comments and support will encourage us to continue to delve deeper into this still open problem.
Thank you again for your valuable contributions to make our manuscript better edited.
With best regards.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Use the same font and size in all figures.

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