Scientists have discovered how to build robots out of rice paper, opening up brand new possibilities for robotic applications ...

The status quo of programming robots is thousands of hours of tele-operation to teach the robot how to do tasks. ... the paper's authors are Prithwish Dan, Angela Chao, and Maximus Pace.

The test bed for C-LEARN is a small, two-armed bomb-disposal robot called Optimus. Once Optimus learns how to perform a task, it can transfer that knowledge to Atlas, a six-foot-tall, 400-pound ...

Actually, it kind of is a lot to ask: A robot that can do even the simplest of chores (save for vacuuming), like setting a table, is a huge challenge because such tasks require both dexterity and ...

The paper, “Robots That Ask for Help: Uncertainty Alignment for Large Language Model Planners,” was presented Nov. 8 at the Conference on Robot Learning. In addition to Ren, ...

Startup Dyna Robotics is developing AI-powered robots that can learn and perform tasks that require human-level dexterity and ...

Check out the time-lapse video above showing the process of making a walking paper robot. The final product and demonstration kick in at about 3:16. So do you see what I meant now by strange, but ...

This robot paper plane designer (really a robot arm fashioned with silicone grippers) can run through this whole process without human feedback. A video of the robot at work. Obayashi et. al ...

In a new paper called “Humanoid Policy ∼ Human Policy,” Apple researchers propose an interesting way to train humanoid robots. And it involves wearing an Apple Vision Pro. Robot see, robot do ...

The Unitree H1 robot is flipping the script on what humanoid robots can do — literally. This bipedal bot has just snagged the spotlight by pulling off a standing backflip without any hydraulics.

Robot see, robot do: System learns after watching how-to videos. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 04 / 250422155938.htm ...

RHyME requires just 30 minutes of robot data; in a lab setting, robots trained using the system achieved a more than 50% increase in task success compared to previous methods, the researchers said.