Mobile Robots Navigation Ⅱ
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 24781
Special Issue Editors
Interests: visual appearance; mobile robots; parallel robots; mapping
Interests: computer vision; omnidirectional imaging; appearance descriptors; image processing; mobile robotics; environment modeling; visual localization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Navigation is one of the fundamental abilities that mobile robots must be endowed with, so that they can carry out high-level tasks autonomously in any a priori unknown environment. Traditionally, this problem has been addressed efficiently through a sequence of actions. First, the surroundings of the robot are perceived and interpreted. Second, the robot estimates its position and orientation within the environment. With this information, a trajectory towards the target points is planned, and the vehicle is guided along this trajectory, often including a reactive action that considers obstacles, possible changes or interactions with the environment or with the users.
The robot may be equipped with different kinds of sensors to perceive the environment, such as laser rangefinders, visual systems of RGB-D platforms, and any of them presents some particularities that must be considered while designing the navigation algorithms. Additionally, in broad lines, navigation can be addressed from two different perspectives, depending on the existence of an initial model or map of the environment. In cases where no map is initially available, an exploration step can be included to achieve complete knowledge of the environment. Integrated exploration systems consider all these issues jointly, and they develop trajectory planning and control, while a model of the environment is obtained, and the robot estimates its position and orientation within it. Additionally, in some cases, the robots must navigate through social environments, and it is necessary to implement interfaces that permit an easy and intuitive interaction between the robot and the users.
The aim of this Special Issue is to present current frameworks in these fields and, in general, approaches to any problem related to the navigation of mobile robots either when they move in a plane (3D) or in the space (6D). In this way, this Special Issue invites contributions to the following topics (but it is not limited to them):
- Self-localization and odometry;
- Environment modelling and interpretation;
- Trajectory planning and motion control;
- Algorithms and methods for navigation;
- Data fusion for mobile robot navigation;
- Deep learning in mobile robot navigation;
- Vision-based mobile robot navigation;
- Map-based navigation;
- Reactive navigation;
- Collaborative navigation of robots;
- Interfaces for robot navigation and social interaction;
- Applications of mobile robot navigation.
Prof. Dr. Oscar Reinoso
Prof. Dr. Luis Payá
Guest Editors
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Keywords
- Exploration
- Path planning
- Mapping
- Localization
- Visual odometry
- SLAM (simultaneous localization and mapping)
- Navigation
- Obstacle avoidance
- Interaction