Robot Bear using Pose Teaching

See http://iel.ucdavis.edu/projects/.

Pose Training allows anyone to create rich and complex motions for a wide array of robotic toys, such as dolls, robot, or vehicles. Users can dynamically generate movements and behaviors by physically manipulating the device, recording poses, and playing recorded poses back in succession. Behaviors are looped to create repeating motions like walking, waving, or driving forward. The more poses making up a behavior, the smoother the output motion and the closer the robotic toy follows the intended path. There is no limit to the number of poses that can make up a behavior. It's a fun, hands-on bridge for beginners to learn how to program. It is a fast way to test machinery with multiple degrees of freedom.

Research by Graham Ryland, Stephen Nestinger, and Harry Cheng, in collaboration with the IEL Laboratory at the University of California, Davis. Videography by Ian Ryland.

Category:

Science & Technology

Tags:

• bearmo
• Bear-mo
• bear robot
• robot
• modular robot
• toy
• pose teaching
• pose training
• machine learning
• programming
• robot dance
• dancing bear electronics
• imobot
• technology
• gadget
• educational

[Whisperingtothefire]

"raise the roof" 2:17

[Laftbaby]

Wow. I want one where can I get one?

[tnhdz]

Haha, the end was cute.

That's pretty awesome.

[Jamespegler]

this thing is awesome! graham you are a genious!