Advanced Control and Robotic System in Path Planning

Dear Colleagues,

I am pleased to invite you to contribute to this Special Issue on the subject of control and path planning in autonomous systems.

In recent years, the scientific community’s interest in control and path-planning systems has been renewed considering the increased success of machine learning algorithms. Indeed, deep learning (DL) technologies are nowadays used to replace, assist, and enhance state-of-the-art approaches. This Special Issues aims to collate novel efficient techniques in the context of the path planning and control of autonomous robot systems for both single-robot and multi-robot systems with a special emphasis on current DL trends.

We also aim to create the opportunity to provide an overview of the latest developments in these fields, including expertise from both researchers and practitioners. Review papers are also welcome.

Topics of interest include, but are not limited to, the following:

• Control in automation, mechatronics, and robotics;
• Applications of deep reinforcement learning on control systems;
• Application of machine vision techniques for path planning;
• Application of the latest DNN techniques for control and path planning;
• Intelligent and adaptive path planning for autonomous systems;
• Related topics involving path planning and control;
• Modern advanced control systems with applications;
• Optimized control for autonomous systems;
• Other machine learning approaches in path planning and control applications.

Dr. Augusto Luis Ballardini
Guest Editor

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.