Learning contact representations in real-world clutter for universal robotic grasping

Summary

Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1038/s42256-026-01292-y Wang et al. design efficient robot–environment interaction representations that achieve generalization across articulated robotic hand models and task adaptability in diverse cluttered grasping scenarios, suggesting a path towards general-purpose robotics.