Bridging Deep Visual Representations and Geometric Control for Embodied Intelligence
Journal: Journal of Control and Decision
Theme: The rapid advancement of foundation models and Vision-Language Models (VLMs) has brought unprecedented perceptual capabilities to autonomous systems. These deep networks excel at compressing complex, high-dimensional sensory inputs into rich, low-dimensional latent embeddings that inherently capture semantic structures, viewpoint equivariance, and object invariance. However, the deployment of these data-driveā¦