There has been an emerging paradigm shift from the era of “internet AI” to “embodied AI,”
where AI algorithms and agents no longer learn from datasets of images, videos or text …

We introduce SceneDiffuser, a conditional generative model for 3D scene understanding.
SceneDiffuser provides a unified model for solving scene-conditioned generation …

State-of-the-art approaches to ObjectGoal navigation (ObjectNav) rely on reinforcement
learning and typically require significant computational resources and time for learning. We …

We introduce The House Of inteRactions (THOR), a framework for visual AI research,
available at http://ai2thor. allenai. org. AI2-THOR consists of near photo-realistic 3D indoor …

The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning
from automation towards general embodied Artificial Intelligence (AI). Adopting foundation …

Previous works for ObjectNav task attempt to learn the association (eg relation graph)
between the visual inputs and the goal during training. Such association contains the prior …

Abstract We propose Continuous Scene Representations (CSR), a scene representation
constructed by an embodied agent navigating within a space, where objects and their …

Abstract The Remote Embodied Referring Expression (REVERIE) is a recently raised task
that requires an agent to navigate to and localise a referred remote object according to a …

This work focuses on object goal visual navigation, aiming at finding the location of an object
from a given class, where in each step the agent is provided with an egocentric RGB image …

Training effective embodied AI agents often involves expert imitation, specialized
components such as maps, or leveraging additional sensors for depth and localization …