Advanced Mobile Robots: Researches and Applications
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 31 October 2025 | Viewed by 471
Special Issue Editor
Interests: mobile robots; deep learning; localization; mapping; scene recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mobile robotics is an emerging field that has revolutionized various industries and everyday life. Mobile robot applications involve the autonomous movement of robots in both structured and unstructured environments, with them being enabled to perform tasks and interact with their surroundings, which are diverse and impactful. In industrial settings, mobile robots equipped with advanced navigation capabilities can automate tedious and repetitive tasks, such as material handling in warehouses, reducing human effort and increasing efficiency. These robots use techniques such as simultaneous localization and mapping (SLAM) to navigate through dynamic environments while avoiding obstacles. In healthcare, mobile robots integrated with HCI technologies play a crucial role as well; they can assist in patient care by delivering medications, monitoring vital signs and providing companionship to elderly or disabled individuals. Another prominent application is in the realm of autonomous vehicles. Mobile robot navigation techniques contribute to the development of self-driving cars, which rely on sensor fusion, computer vision and advanced algorithms to perceive their environments, plan optimal routes and ensure safe navigation.
Overall, the applications of mobile robots are diverse and rapidly expanding, enabling automation, improving human-robot interactions and enhancing various industries and aspects of daily life. Ongoing advancements in this field hold the potential to bring about further innovations and transform the way we interact with robotic systems.
Prof. Dr. Mónica Ballesta Galdeano
Guest Editor
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Keywords
- mobile robots
- human-computer interaction
- computer vision
- deep learning
- mapping
- sensors
- perception
- path planning
- scene recognition
- autonomous transportation
- self-driving cars
- healthcare
- industrial automation
- delivery robots
- search and rescue
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