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Robotics
Special Issues
Vibration Reduction through Reactionless and Control Design for Robotic Mechanisms
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Vibration Reduction through Reactionless and Control Design for Robotic Mechanisms

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: closed (31 October 2017) | Viewed by 7872

Special Issue Editors

Prof. Dr. Dan Zhang

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Guest Editor
Department of Mechanical Engineering, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada
Interests: robotics and mechatronics; high-performance parallel robotic machine development; sustainable/green manufacturing systems; micro/nanomanipulation and MEMS devices (sensors); micro mobile robots and control of multi-robot cooperation; intelligent servo control system for the MEMS-based high-performance micro-robot; web-based remote manipulation; rehabilitation robot and rescue robot
Special Issues, Collections and Topics in MDPI journals
Dr. Bin Wei

E-Mail
Guest Editor
Department of Mechanical Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
Interests: robotics and mechatronics; adaptive control and learning control; advanced manufacturing and automaton; rehabilitation robots and rescue robots; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

When robotic mechanisms are in motions, there is often vibration involved. Vibrations are undesirable and will always affect the overall performance of a robotic system. Aiming to address the above-mentioned problem, integration of dynamic balancing and adaptive/hybrid control system is one of the most effective ways to reduce vibrations without affecting other performances. This Special Issue will bring researchers together to present recent advances and technologies in the field of new dynamic balancing method and adaptive/hybrid control system design for robotic manipulators. Suitable topics include, but are not limited to, the following:

  1. Adaptive/Hybrid control system theories and design
  2. Design of new dynamic balancing methods
  3. New vibration-control methods for robotic mechanisms
  4. Mechatronic approach for vibration reduction
  5. Mechatronic approach for hybrid control system design
  6. Applications for the integration of dynamic balancing and hybrid control

Dr. Dan Zhang
Dr. Bin Wei
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Robotics 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 1800 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

  • Adaptive control
  • Hybrid control
  • Robotic mechanisms
  • Reactionless
  • Vibration
  • Mechatronics

Published Papers (1 paper)

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Review

351 KiB  
Review
On the Development of Learning Control for Robotic Manipulators
by Dan Zhang and Bin Wei
Robotics 2017, 6(4), 23; https://doi.org/10.3390/robotics6040023 - 27 Sep 2017
Cited by 9 | Viewed by 7117
Abstract
Learning control for robotic manipulators has been developed over the past decade and to the best of the authors’ knowledge, it is still in its infant development stage; the authors believe that it will become one of the most promising directions in the [...] Read more.
Learning control for robotic manipulators has been developed over the past decade and to the best of the authors’ knowledge, it is still in its infant development stage; the authors believe that it will become one of the most promising directions in the control area in robotic manipulators. Learning control in robotic manipulators is mainly used to address the issue that the friction at the joints of robotic mechanisms and other uncertainties may exist in the dynamic models, which are very complex and may even be impossible to model mathematically. In this paper, the authors review and discuss the learning control in robotic manipulators and some issues in learning control for robotic manipulators are also illustrated. This review is able to give a general guideline for future research in learning control for robotic manipulators. Full article
(This article belongs to the Special Issue Vibration Reduction through Reactionless and Control Design for Robotic Mechanisms)
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