The human ability to learn, generalize, and control complex manipulation tasks through multi-
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …

The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …

We present PanopticNeRF, an object-aware neural scene representation that decomposes
a scene into a set of objects (things) and background (stuff). Each object is represented by a …

Vision-based building scene understanding (BSU) is essential to many applications such as
indoor navigation and 3D reconstruction. Deep learning excels in various BSU tasks but its …

Embodied AI agents that search for objects in large environments such as households often
need to make efficient decisions by predicting object locations based on partial information …

We introduce a learning-based approach for room navigation using semantic maps. Our
proposed architecture learns to predict top-down belief maps of regions that lie beyond the …

Recently, autonomous mobile robots have gained popularity in the modern world due to
their relevance technology and application in real world situations. The global market for …

Increasing reliance on automation and robotization presents great opportunities to improve
the management of construction sites as well as existing buildings. Crucial in the use of …

Mapping the environment is a powerful technique for enabling autonomy through
localization and planning in robotics. This article seeks to provide a global overview of …

The capacity to extract information and comprehend an unseen environment is critical for
mobile robots to navigate. Few surveys has mentioned the combinatorial-non-optimality …