Arslan Munir

GRALP: A Generative Representation Framework for Action Refinement and Latent Planning in Offline Robotic Control

Offline robotic control requires long-horizon reasoning from fixed datasets while avoiding unsafe extrapolation beyond demonstrated behavior. We propose GRALP, a principled framework that resolves this tension by jointly enforcing support preservation and controllability at the level of temporal abs