There is a growing trend in robotics for implementing behavioural mechanisms based on
human psychology, such as the processes associated with thinking. Semantic knowledge …

The division of floor plans or navigation maps into single rooms or similarly meaningful
semantic units is central to numerous tasks in robotics such as topological mapping …

Simultaneous localization and mapping (SLAM) is one of the fundamental capabilities for
intelligent mobile robots to perform state estimation in unknown environments. However …

The evolution of contemporary mobile robotics has given thrust to a series of additional
conjunct technologies. Of such is the semantic mapping, which provides an abstraction of …

This paper presents a probabilistic framework combining heterogeneous, uncertain,
information such as object observations, shape, size, appearance of rooms and human input …

We consider the following problem: a team of robots is deployed in an unknown
environment and it has to collaboratively build a map of the area without a reliable …

This letter presents an interactive graph SLAM framework with a 3D LIDAR. This framework
allows the user to interactively correct a 3D environmental map generated by an automatic …

The increasing availability of both indoor positioning services and sensors for 3D data
capture, such as RGB-D sensors, allows the provision of indoor spatial information services …

Truly universal helper robots capable of coping with unknown, unstructured environments
must be capable of spatial reasoning, ie establishing geometric relations between objects …

Due to its vast applicability, the semantic interpretation of regions or entities increasingly
attracts the attention of scholars within the robotics community. The paper at hand introduces …