CyberRobo ✓

[video] Dream2Flow from Stanford University marks a major breakthrough: Simply put, humanoid robots can learn physical movements from videos generated via text/images, and subsequently execute tasks successfully in real-world environments. This significantly reduces the effort required

[video] Just discovered SimToolReal:an insane breakthrough in robot tool manipulation No more task-specific training,it uses sim-to-real RL to handle unseen tools zero-shot. Hammers, scissors, you name it,over 120 real-world demos crushing it. more: Mind-blown

[video] Humanoid robots often look capable, but break down on contact. This project 👉 adds a key piece: predicting future touch during action — Touch Dreaming. Instead of see → act it becomes see + touch → predict contact → act That shift shows up in tasks