Path Planning for Mobile Robots, 2nd Edition

Dear Colleagues,

The development of mobile robots and land vehicles towards autonomy is a very significant area of concern for researchers and engineers in multidisciplinary fields. This growing interest in increasing the quantity of these robots and vehicles, as well as the number of manufacturers involved, necessitates the development of applications for road recognition. These programs aim to create uniform structures that both users and manufacturers can easily adopt, regardless of their individual needs or preferences. The primary reason for the development of applications is the necessity to prevent collisions and facilitate collaboration between mobile robots and land vehicles in various scenarios. There is a growing discussion surrounding the fourth industrial revolution, known as Industry 4.0. This revolution emphasizes the importance of logistical approaches in human–robot interaction systems, focusing on the ability of mobile robots to identify and plan routes effectively.

This Special Issue invites researchers to contribute both with original research articles and reviews highlighting issues related to mobile robot path planning and the challenges of mobile robot path planning applications. At the same time, it can provide solutions to improve planning methods, so that mobile robots can move in structured and unstructured environments.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: 

• Connected robot navigation through wireless sensors;
• Algorithms aimed at achieving dynamic planning, control, and state estimation are optimized for maximum efficiency and effectiveness;
• Robot control involves the processes of learning and adaptation;
• The field of computational architectures for autonomous robots encompasses a wide range of methodologies and frameworks that are specifically designed to facilitate the autonomous capabilities of robots;
• Path optimization and multi-level path planning for the navigation algorithm;
• The human–robot collaboration and physical interaction, surveillance, or exploration of unknown spaces with mobile agents.

Dr. Ionica Oncioiu
Dr. Lucian Ştefǎniţǎ Grigore
Guest Editors

Manuscript Submission Information

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• path planning
• mobile robotics
• autonomous mobile robots
• multi-modal sensorial systems for robot navigation
• robot motion models
• localization and mapping
• robots and control systems
• IoT networks
• intelligent transportation
• sensor/data fusion
• humanoid robots
• network security

• Path Planning for Mobile Robots in Electronics (11 articles)