Abstract: One of the key issues that prevents creation of a truly autonomous mobile robot is the simultaneous localization and mapping (SLAM) problem. A solution is supposed to estimate a robot pose ...

Abstract: Visual Simultaneous Localization and Mapping (SLAM) algorithms have been extensively utilized in applications such as intelligent navigation, autonomous driving, and mapping tasks. However, ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...