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Recent Trends in Robot Motion Planning and Control

This special issue belongs to the section “Robotics, Mechatronics and Intelligent Machines“.

Special Issue Information

Dear Colleagues,

The emergence of robots has brought great convenience to people’s lives in the fields of manufacturing, assembly, rehabilitation, assistance, and others. As an interplanetary topic, the blossoming of robots involves advances in electronics, mechatronics, control engineering etc. Motion planning and control problems are essential in robot development for achieving optimal movement and interaction with the environment and/or humans.  

This Special Issue intends to cover recent developments in robotics regarding motion planning and control that are related to dynamic modelling, path planning, machine learning, optimization, model-based control, robot navigation, human–machine interfaces etc., such that safe and reliable operation can be achieved.

Dr. Meng Yuan
Dr. Ye Wang
Dr. Lei Li
Prof. Dr. Wei Tech Ang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • robotics
  • motion planning
  • motion control
  • optimization-based control
  • learning-based control
  • human-machine interface
  • system modelling
  • nonlinear control

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Machines - ISSN 2075-1702