Intelligent Robotics

Dear Colleagues,

Robots have come out of industries and spread across many areas, such as agriculture, environmental protection, and services. These systems are especially useful in scenarios where humans cannot work due to their remote or dangerous nature. However, robots still have to overcome challenges related to autonomy to perform in these scenarios, as well as to reduce the workload of operators.

The rise of machine learning in recent years promises to address these issues in robotics. Deep learning techniques can be thoroughly applied to robot missions. Convolutional neural networks are providing robots with improved perception skills, whereas reinforcement learning is leading to promising results in guidance, navigation, and control. Researchers are applying other techniques to create robots with decision-making capabilities and enhance human–robot interactions.

This Special Issue aims at collecting high-quality works that apply machine learning techniques to different types of robots (ground, aerial, marine, and submarine robots) and fleets (multirobot systems and robot swarms). We are looking for manuscripts with state-of-the-art reviews, original research, and real-world applications.

Please contact us if you have any doubt regarding your submission.

Dr. Juan Jesús Roldán-Gómez
Dr. Mario Andrei Garzón Oviedo
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. Applied Sciences is an international peer-reviewed open access semimonthly 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.