Autonomous Mobile Robotics: Latest Advances and Prospects

Dear Colleagues,

The Special Issue aims to provide a comprehensive overview of cutting-edge developments and future directions in the field of autonomous mobile robotics. With the demand for autonomous systems continuing to rise across various industries, this Special Issue will focus on the latest advancements, challenges and potential solutions in the design, control and application of autonomous mobile robots.

Topics of interest include, but are not limited to:

1. Sensor Fusion and Perception: Novel approaches for integrating sensor data, enabling robots to perceive and interpret their environment accurately.
2. Navigation and Path Planning: Advancements in algorithms and techniques for autonomous robot navigation, obstacle avoidance and efficient path planning.
3. Machine Learning in Robotics: Applications of machine learning techniques, including deep learning, reinforcement learning and transfer learning, to enhance the cognitive abilities of autonomous mobile robots.
4. Human-Robot Interaction: Exploration of interfaces and methods to improve collaboration and communication between autonomous robots and human users.
5. Multi-Robot Systems: Studies on the coordination and cooperation among multiple autonomous robots to accomplish complex tasks efficiently.
6. Real-World Applications: Case studies and practical implementations of autonomous mobile robots in industries such as manufacturing, healthcare, agriculture and logistics.

This Special Issue invites researchers, academics and industry professionals to contribute original research articles, reviews and perspectives that contribute to advancing the state of the art in autonomous mobile robotics. The goal is to foster interdisciplinary discussions and provide a platform for sharing innovative ideas and solutions to propel the field forward.

Dr. Asanka Perera
Dr. Diluka Moratuwage
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. 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.

• robot perception
• sensor fusion
• navigation and path planning
• obstacle avoidance
• machine learning in robotics
• human–robot interaction
• multi-robot systems
• mobile robot applications
• real-world robotics
• field robotics