Advances in Path Planning and Autonomous Navigation
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".
Deadline for manuscript submissions: 15 October 2024 | Viewed by 1321
Special Issue Editor
Interests: sensing, recognition, and path planning for autonomous drones; machine learning and data analytics; SLAM algorithms and robotics control systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
An essential factor in the development of robotics, autonomous vehicles, and unmanned aerial vehicles (UAVs) is the determination of safe and intelligent navigation in complex and dynamic environments, known as path planning or motion planning. From the initial position to the desired goal, efficient and effective path-planning algorithms are crucial in enabling a sequence of actions or motions to be carried out while avoiding obstacles or constraints in the environment. Certain factors must be considered in path planning, e.g., the minimal distance travelled, evasion of hindrance, consideration of dynamic obstacles, or optimization of other performance metrics. Path planning and autonomous navigation have attracted considerable interest and attention in recent years owing to several factors:
- Rapid developments in robotics, sensor technologies, and computing power have created new possibilities for autonomous navigation.
- The rise of autonomous vehicles, including self-driving cars, drones, and others, has led to a strong demand for efficient and safe path-planning algorithms.
- Industrial automation and robotics: robots are increasingly employed for logistics, warehouse automation, and manufacturing tasks.
- Applications in unstructured environments: path planning and autonomous navigation are crucial when human intervention is restricted or impractical.
The present high interest in path planning and autonomous navigation can be attributed to the desire to cultivate intelligent, efficient, and safe systems that can operate independently in varied surroundings. It is predicted that further high-quality research and technological improvements in this field will significantly affect industries, transportation, and various aspects of our everyday lives. This Special Issue aims to collect innovative contributions on this subject. Specifically, contributions may address the following aspects of “Path Planning and Autonomous Navigation”:
- Dynamic and motion planning for mobile robots and UAVSs
- SLAM
- Energy-efficient path planning
- Real-time and adaptive path planning
- Autonomous navigation systems using reinforcement learning
- Deep reinforcement learning
- Localization and mapping algorithms
- Multi-agent systems and swarm robotics
- Navigation in GPS-denied environments
- Efficient exploration and mapping
"Advances in Path Planning and Autonomous Navigation" aims to provide a leading resource for researchers and practitioners in the field, and we invite authors to contribute their expertise and research findings to this Special Issue.
Dr. Endrowednes Kuantama
Guest Editor
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. Machines 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 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.
