Advanced Control Topics on Robotic Vehicles

Dear Colleagues,

Robotic vehicles have attracted significant attention in recent years due to their potential applications in various fields. To achieve the successful operation of such robotic systems, there are still many aspects that need to be examined and problems to be resolved. These aspects and problems are related to modeling, controller design, communications, and artificial intelligence. The aim of examining these types of problems is, among others, (a) to produce more accurate mathematical representations of robotic vehicles, (b) to design appropriate control schemes such that the vehicles perform more precise maneuvers despite the presence of uncertainties, disturbances and measurement noise as well as the influence of networks in communication-based controller implementations, and (c) to improve the functioning of robotic vehicles through the use of advanced algorithms in perception and sensing, navigation and path planning, control systems design, decision-making, and collaborative driving. The main development branch of such algorithms is based on the use of artificial intelligence and machine learning approaches, aiming toward the development of fully autonomous systems, and covering areas such as controller design and tuning, navigation and motion control, localization and mapping, and multimodal sensing. To achieve this goal, MDPI's journal "Information", having a leading role in information science and technology, data, knowledge, and communication systems, is introducing a Special Issue focusing on advanced control topics for robotic vehicles. The purpose of this Special Issue is to draw in new research and discuss problems that are directly related to the performance and operation of robotic vehicles. This Special Issue covers all aspects of advanced control on robotic vehicles including:

• AI- and machine learning-based methods;
• Computational intelligence;
• Intelligent and cognitive robotic systems;
• Control techniques;
• Network controlled systems;
• Remote control;
• Communication systems and networks;
• Sensors and wireless sensor networks in robotic applications;
• Signal processing;
• Swarm robotics and consensus;
• Multi-robot systems;
• Cooperating systems;
• Dynamics and kinematics;
• Navigation, path planning, and localization;
• Visual perception;
• Autonomous navigation;
• Human–robot interaction and social robotics;
• Simulation;
• Robotic vehicle applications;
• UAVs, UGVs, USVs, and UUVs.

Dr. Nikolaos D. Kouvakas
Prof. Dr. Zhigang Chu
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. Information 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 1600 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.

• robot control
• communications and network controlled systems
• emerging applications
• artificial intelligence
• information extraction
• autonomy, mobility, and manipulation
• multi-agent systems and consensus
• human–robot interaction
• robotic vision