Submission Deadline: 31 May 2025 View: 146 Submit to Special Issue
Nowadays, mobile robots hold significant importance and potential across various domains thanks to their ability to navigate and perform tasks in diverse environments. They have potential to contribute to current problems such as the development of smart cities, environment monitoring and conservation, or enhanced human-robot interaction for healthcare and assistance, among others.
To enable mobile robots to autonomously understand and navigate their surroundings, it is essential to build a representation of the environment. This representation must contain enough information so that the robot can navigate and perform its tasks with sufficient accuracy and must be robust to cope with the challenges that occur when the robot has to operate in large, social, uncertain and dynamic environments. A variety of sensors are typically used to build this representation, such as different kinds of computer vision devices or range sensors. Also, AI techniques, mainly deep learning, currently play an important role in some parts of the process, such as the fusion of data from different sources through multimodal architectures or the detection of patterns or relations from massive amounts of data.
This special issue aims to bring together researchers looking into how computer vision and other sensory information are combined with the latest AI techniques to address both the fundamentals and the applications of environment modeling in mobile robotics.
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