See iel.ucdavis.edu 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.

a prototype toy robot from Yonezawa Factory in Japan this short video shows the robot toy walking.

This is Penbo! A robotic toy for girls that I helped to design! I had a large part in shaping how she looks, acts, and interacts with both you and her baby. I also designed the baby from the ground up. Please watch in high quality for maximum cuteness!

1997: Dave Thomas serves up some 99-cent nuggets + an ad for a collectible Lost in Space Robot toy.
