Scene representations using 3D Gaussian primitives have produced excellent results in
modeling the appearance of static and dynamic 3D scenes. Many graphics applications …

• Generalizable Representation: Some existing semantic fields or representations are
trained on small-scale datasets and are challenging to transfer to novel scenes or object …

Combining the mobility of legged robots with the manipulation skills of arms has the
potential to significantly expand the operational range and enhance the capabilities of …

Enabling mobile robots to follow complex natural language instructions is an important yet
challenging problem. People want to flexibly express constraints, refer to arbitrary landmarks …

In recent years, there has been a surge of interest in open-vocabulary 3D scene
reconstruction facilitated by visual language models (VLMs), which showcase remarkable …

Neural Fields have emerged as a transformative approach for 3D scene representation in
computer vision and robotics, enabling accurate inference of geometry, 3D semantics, and …

Landmark-based navigation (eg go to the wooden desk) and relative positional navigation
(eg move 5 meters forward) are distinct navigation challenges solved very differently in …

Exploiting the promise of recent advances in imitation learning for mobile manipulation will
require the collection of large numbers of human-guided demonstrations. This paper …