Environment Modeling with Computer Vision and AI for Mobile Robotics Call for Papers

We would like to invite you to contribute your high-quality articles
to the Frontiers in Robotics and AI topic on Environment Modeling with
Computer Vision and AI for Mobile Robotics.

Submission Deadlines


27 July 2021


25 January 2022


For robot motion it is essential to build a -sufficiently- useful
representation of the environment. Computer Vision and additional
sensing, when combined with the latest AI techniques such as Deep
Learning, are addressing challenges that allow robots to cope with
uncertain, complex and real-world conditions. This Research Topic aims
to bring together researchers looking into how Computer Vision and AI
are combined to deliver both the fundamentals and the applications of
environmental modeling in mobile robotics.


This Research Topic will cover the specific themes:


* Image processing for Environmental Modeling using AI techniques

* Creating a long-term map of the environment

* Incremental methods to model the environment

* Localization and/or place recognition

* Detection of structural changes and adaption of the model accordingly

* Loop closure detection and/or correction of the model

* Simultaneous Localization and Mapping (SLAM)

* Detection and/or recognition of local elements in the scenes.

* Estimating the trajectory of dynamic components from the scenes

* Multi-sensory information fusion using AI

* Visual odometry and/or movement estimation using AI

* Semantic labelling

* Path planning and control of mobile robots with AI techniques

* Navigation of mobile robots using AI techniques


Topic Editors:


Luis Paya, Miguel Hernández University of Elche, Elche,

Oscar Reinoso, Miguel Hernández University of Elche, Elche,

Walterio Mayol-Cuevas, Univ of Bristol UK & Amazon


Full details including submission information at: