Advances in Perception, Decision Making and Controls for Autonomous Navigation Using Mobile Robots
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: 25 May 2024 | Viewed by 105
Special Issue Editors
Interests: mobile robots' control; navigation; distributed algorithms in multi-robot settings
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, autonomous navigation that uses mobile robots and onboard visual/LiDAR/inertial sensors has become increasingly popular for different indoor and outdoor applications, such as environmental monitoring, service in remote areas, warehouses and material handling, and autonomous driving. As a result, they can be used in interdisciplinary fields involving mechanical engineering, control engineering, computer science, and human behavioural sciences for the safe navigation of mobile robots in unstructured and dynamic environments. Their rapid development has an important effect on the environment, transportation, medicine, energy, manufacturing, agriculture, and other industries. However, reliability of navigation, state estimation, and control methods in such uncertain environments, as well as the likelihood of system failures and the overall loss of functionality in dynamic and unstructured scenes, are the main challenges for the safe and effective operation of autonomous mobile systems including mobile robots. The aim of this Special Issue is to collect papers on recent advances and challenges in perception, decision making, and controls for autonomous navigation using mobile robots.
Areas to be covered in this Special Issue may include, but are not limited to:
- Autonomous mobile robots;
- Robot learning;
- Multi-robot controls;
- Autonomous navigation;
- Human–autonomy coordination;
- Automated driving systems;
- Motion planning for mobile robots;
- Visual-inertial navigation;
- LiDAR-based navigation;
- Cooperative intelligent transportation systems;
- Integrated path planning and tracking;
- Fault-tolerant control;
- Distributed controls for multi-robot navigation;
- Distributed state estimation;
- Mobile robots in sensor networks;
- Distributed navigation.
Dr. Ehsan Hashemi
Dr. Mohammad H. Mamduhi
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.
Keywords
- autonomous mobile robots
- autonomous navigation
- multi-robot control
- machine vision
- learning-based motion planning
- distributed control and estimation
