Special Issue "Multiagent Systems, Learning and Their Applications to Robotic (Mobile, Aerial, Underwater, Industrial and Medical) Systems"
Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 3876
Interests: machine learning for autonomous multi-vehicles (aerial, ground, underwater)/robotics (medical, industrial) network systems; collaborative learning control and manipulation for cyber-physical systems; intelligent robotics; mechatronics and unmanned vehicles
We are pleased to inform you that the Special Issue of the open-access journal Sensors (ISSN 1424-8220, IF 3.275) entitled “Multiagent Systems, Learning and Their Applications to Robotic (Mobile, Aerial, Underwater, Industrial and Medical) Systems” is accepting contributions.
In recent years, multi-agent systems have received a great deal of attention from researchers in different disciplines far beyond computer science and artificial intelligence communities. This is because multi-agent systems can be used to solve complex problems in various fields that are difficult or impossible for single agents or systems.
The goal in Special Issue in the "Physical" section is to gather novel contributions on multiagent systems, learning and their applications to mobile, aerial, underwater, industrial and medical robotic systems. This Special Issue will focus on identification, modeling, coordination, control and machine-learning methods for robotic systems with the presence of uncertainty. Manuscripts specifically addressing the theoretical, experimental/practical and technological aspects of identification, modeling, cooperation/synchronization, control and learning techniques for robotic systems and extending the concepts and methodologies from classical methods to advanced robust methods with the presence of uncertainty will be highly desirable for this Issue. The possible topics of interest include but are not limited to:
- Multi-agent reconfigurable robotics;
- Multi-agent swarm robotics, multi-agent leader–follower robotics;
- Multi-agent robot localization, mapping and exploration;
- Multi-agent robot motion coordination;
- Multi-agent robot architectures and task planning;
- Multi-agent robot control mechanisms and multi-agent robot learning;
- Multi-agent robot object grasping, transportation and manipulation.
We look forward to receiving your contributions.
Prof. Dr. Shafiqul Islam
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. Sensors 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.
- Intelligent robotic agents
- Multi-agent robotic systems
- Modeling, identification and multi-agent autonomous learning
- Distribution, cooperation and machine learning
- Architecture and task planning
- Communication, interaction and applications