Performing collaborative semantic mapping is a critical challenge for cooperative robots to
enhance their comprehensive contextual understanding of the surroundings. This article …

Performing collaborative semantic mapping is a critical challenge for cooperative robots to
maintain a comprehensive contextual understanding of the surroundings. Most of the …

The collaborative operation of multiple robots can make up for the shortcomings of a single
robot, such as limited field of perception or sensor failure. multirobots collaborative semantic …

Relative localization is a fundamental requirement for the coordination of multiple robots. To
date, existing research in relative localization mainly depends on the extraction of low-level …

In this letter, we present a semantic mapping approach with multiple hypothesis tracking for
data association. As semantic information has the potential to overcome ambiguity in …

We present a solution to multi-robot distributed semantic mapping of novel and unfamiliar
environments. Most state-of-the-art semantic mapping systems are based on supervised …

Ensuring safety in human–robot collaboration is one of the main challenges in mobile
robotics today. Semantic maps are a potential solution because they provide semantic …

In order to enable a team of robots to operate successfully, retrieving accurate relative
transformation between robots is the fundamental requirement. So far, most research on …

Operating multiple robots in an unstructured environment is challenging due to its high
complexity and uncertainty. In such applications, the integration of individual maps …

This article develops a Bayesian continuous 3D semantic occupancy map from noisy point
clouds by generalizing the Bayesian kernel inference model for building occupancy maps, a …