Abstract: In response to the problem that the existing service robots' semantic understanding relies on a single language input and the responses lack scene adaptability, this paper proposes a ...

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but not readily interpretable by humans. Although latent space studies are still ...

Abstract: Soft continuum robots possess inherent compliance and ensure safe interactions. Whilst advantageous, their high degrees of freedom pose significant challenges for estimating the robot's ...