SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments

Understand

Recent advancements in deep learning, computer vision, and embodied AI have given rise to synthetic causal reasoning video datasets.

• These datasets facilitate the development of AI algorithms that can reason about physical interactions between objects.
• However, datasets thus far have primarily focused on elementary physical events such as rolling or falling.
• There is currently a scarcity of datasets that focus on the physical interactions that humans perform daily with objects in the real world.