One human video, any robot hand, no teleop
Jitendra Malik put his name to a Berkeley result that learns dexterous manipulation from a single human demonstration, then asked out loud: whither teleop? That is the data pipeline most of the field is currently built on.
Shown this week
Berkeley: one human demo, any multi-fingered hand, zero-shot sim-to-real
Tara Sadjadpour and collaborators posted a method that takes a single human demonstration and produces a zero-shot sim-to-real visuomotor policy (trained in simulation, run on the real robot from camera images) for multi-fingered hands. Co-authors include Haozhi Qi, Shankar Sastry, Claire Tomlin and Jitendra Malik.
Visual imitation followed by trial and error is a good recipe for robots as it is for human children. Whither tele-op?
TactileStep goes after humanoid footstep contact, not gait
Yiming Li says TactileStep was accepted to CoRL 2026, aimed at making every foot contact more stable and safe rather than at walking itself. The pitch: as humanoids get better at walking, the next challenge is not the next step but the contact itself.
Teleop and other arguments
Humanoid Scott says a hand video still has an AI tell
Humanoid Scott picked apart a hand video someone else posted with the caption "It's over," and said it is good but not perfect. His list: the necklace could not have been clasped with that much hair behind the neck, the hands never come close together, and it happens too fast.
AI still has a tell