Special Issue "Mobile Robot Navigation"
Deadline for manuscript submissions: closed (31 August 2019) | Viewed by 115805
Interests: ultrasonic signal processing; Local Positioning Systems (LPSs); mobile robots; electronic control, tracking and navigation; daily live monitoring; algorithm implementation on software and hardware
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Interests: network control systems; wireless sensor networks; event-based control; event-based estimation; electronic control engineering; robot formation; target approaching; trajectory tracking
Interests: control and navigation in robotics; continuous and on-line robot and machine learning; indoor localization; scientific methods in robotics (modelling and characterization of robot behavior); pattern recognition
Navigation is one of the main challenges in robotics. Loads of works, from theoretical research to practical applications, have been devoted in the last decades to endow robots with the ability of navigating. Yet, important advances in many topics are still required to handle the increasingly complex environments and tasks, imposed by the continuous evolution of robot technology in a great variety of domains (from autonomous cars, service robots, underwater vehicles to aerial robots). Nowadays, the massive use of drones has extended the navigation from 2D restricted spaces to 3D. Advances in perception and localization, computer vision, context aware navigation and route planning, dynamic guidance to the target, adaptation through online learning, are some of the challenges, to mention but a few, which are still required.
Different technologies and strategies are involved: sensing, positioning, mapping, approaching, tracking, formation, control, communication, human-interface, learning, etc.
The aim of this Special Issue is to contribute to the state-of-the-art and present current applications of robot navigation. This is why the Guest Editors invite papers related to the following topics, but the list is non-exhaustive:
- Perception and localization. Stand-alone and cooperative approaches. SLAM.
- Map-based, landmark-based, beacon-based navigation (2D and 3D)
- Data fusion for mobile robot navigation.
- Wireless sensor networks for mobile robot navigation.
- Network control systems
- Robot formation and tracking
- Adaptive robot navigation and control
- Tracking algorithms
- Biologically inspired robot navigation
- Applications of mobile robot navigation
Prof. Dr. Jesús Ureña
Prof. Dr. Felipe Espinosa Zapata
Dr. Roberto Iglesias Rodríguez
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