Robot Localisation

Robot localization, the process of determining a robot's position and orientation, aims to enable autonomous navigation and interaction with the environment. Current research focuses on improving accuracy and robustness through diverse sensor fusion, including ultra-wideband (UWB) systems optimized via adaptive anchor selection, visual place recognition enhanced by novel data representations like Visual Distribution of Neuron Activations (VDNA), and distributed approaches using Gaussian Belief Propagation for multi-robot scenarios. Furthermore, innovative sensing modalities, such as Raman spectroscopy for material-based localization, are being explored to augment existing methods and improve performance in challenging environments. These advancements are crucial for enhancing the reliability and capabilities of robots in various applications.