Active simultaneous localization and map** (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …

Capturing uncertainty in object detection is indispensable for safe autonomous driving. In
recent years, deep learning has become the de-facto approach for object detection, and …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

For robots to be generally useful, they must be able to find arbitrary objects described by
people (ie, be language-driven) even without expensive navigation training on in-domain …

We present a unified representation for actionable spatial perception: 3D Dynamic Scene
Graphs. Scene graphs are directed graphs where nodes represent entities in the scene (eg …

Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …