On Inferring Intentions in Shared Tasks for Industrial Collaborative Robots
Round 1
Reviewer 1 Report
This manuscript reports the design, development and experimental validation of a system that can detect and adapt to three types of basic human intention during a physical human robot interaction scenario. The methodology adopted is rigorous and answers many of the questions in advance that generally comes up during the review stage. I highly recommend its publication following the satisfactory implementation of the recommendations mentioned in detail in the attached document.
Comments for author File: 
Comments.pdf
Author Response
We would like to thank the reviewer for the thorough revision and the interesting comments which helped us to improve the quality of the paper. It is great to count on the helpful contribution of other researchers.
Author Response File: Author Response.pdf
Reviewer 2 Report
This article deals with collaboration of robots with humans by sharing forces to complete tasks. The article is well written and is supported by experiments with real robots and human operators. It is in the scope of the journal and advances the knowledge about cobots and their use in industrial settings. I recommend accepting it.
Author Response
We would like to thank the reviewer for the thorough revision and the interesting comments which helped us to improve the quality of the paper. It is great to count on the helpful contribution of other researchers.
Reviewer 3 Report
The topic and content of this research is interesting. The contributions of this research, over related works, are identified appropriately and satisfactorily. The research methods and results are comprehensively and convincingly presented. Overall, the quality of the current version of the paper is good, between average and high, thus I can recommend the publication as it is.
Just two minor text editing errors:
in line 180, correct “In the dataset, he shorter …” to “In the dataset, the shorter …”
in line 334 correct “is focus on …” to “is focused on …”
Author Response
We would like to thank the reviewer for the thorough revision and the interesting comments which helped us to improve the quality of the paper. It is great to count on the helpful contribution of other researchers.
