Optimization, Control and Design of Parallel Robots
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 15507
Special Issue Editors
Interests: manipulators; parallel robots; robotics; mechanics; mobile robots
Interests: robotics; robot design; mechatronics; walking hexapod; design procedure; mechanics of machinery; leg–wheel
Special Issues, Collections and Topics in MDPI journals
Interests: control systems; mobile robots; cybernetics and synthesis of automatic control; intelligent methods; evolutionary algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: robotics; mechatronics; robotic systems; manipulation robots; mobile robots; dynamics
Special Issue Information
Dear Colleagues,
Parallel robots are widely used in various fields of industry, agriculture, high-precision engineering, medicine and other areas. Nevertheless, the design of parallel robots has a number of problems associated with the rational choice of geometric and design parameters and in achieving a compact design while meeting the requirements of controllability and workspace. An important aspect is also the planning and optimization of the trajectory of the end effector (working platform) due to the ambiguity of the forward kinematics solution.
The main objective of this Special Issue is to create a platform for scientists, engineers and practitioners to share their latest theoretical and experimental results, as well as to discuss several issues regarding research directions in the field of parallel robots. In this Special Issue, we hope to publish papers that provide recent results pertaining to the development of high-performance optimization and simulation methods for many robotics problems, including: optimization of geometric and design parameters, singularity analysis, workspace, planning trajectories within the required space, and optimization of design parameters based on the analysis of dynamic models. Developers and designers of parallel robots will be presented with methods for calculating the technical characteristics of robots, taking into account the requirements of controllability, safety and compact design. Articles containing results, both theoretical and experimental, relating to specific areas of robot application are especially welcome.
Prof. Dr. Larisa Rybak
Prof. Dr. Giuseppe Carbone
Prof. Dr. Askhat Diveev
Prof. Dr. Nikolai N. Bolotnik
Dr. Alexey Fomin
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. 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
- parallel robot
- robotic platform
- kinematics
- machine learning
- control
- optimization
- trajectory planning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.