PhD Position F/M Structured Ego-World Models for Scaling Dexterous Robot Learning

PhD Position F/M Structured Ego-World Models for Scaling Dexterous Robot Learning

Type de contrat : CDD

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Doctorant

Niveau d'expérience souhaité : Jeune diplômé

Mission confiée

Context & Motivation: Recent breakthroughs in generalist robot learning are increasingly driven
by behavior cloning on large-scale heterogeneous teleoperation data across diverse robotic
platforms. However, a fundamental architectural bottleneck remains: these systems overwhelmingly
reduce perception and control to a monolithic, direct pixel-to-action mapping. This paradigm tightly
entangles scene semantics, camera viewpoint, environmental dynamics, and robot-specific morphology
within a single latent space. Consequently, while these models excel at interpolating within th...