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Monday, September 05, 2011

Hot, Flat, And Widescreen: The Rise Of The Minitabs

Mini Keepon







Carlitos’ Projects: Speech-Controlled Arduino Robot



You may be thinking that making such a robot must be a very complex task. After all, humans take many years before they can understand speech properly. Well, it is not as difficult as you may think and it is definitely lots of fun. The video below illustrates how to make your own speech-controlled Arduino rover.

Heather Knight! She runs Marilyn Monrobot, which creates socially intelligent robot performances and sensor-based electronic art.

The robot Keepon (developed by Hideki Kozima and programmed by Marek Michalowski) dancing to the song "Don't You Evah" by the band Spoon. Keepon and Spoon reunited at WIRED NextFest in LA September 10, 2007 for Creative Commons.

Cast (in order of appearance): Keepon, Hideki Kozima, Jim Eno, Britt Daniel
Keepon Wrangler/Programmer: Marek Michalowski
Executive Producers: Melanie Cornwell, Scott Dadich
Producers: Melanie Cornwell, Zana Woods
Director: Jeff Nichols
Concept by: Melanie Cornwell, Laura Eldeiry, Nancy Miller
Written by: Jeff Nichols, Adam Stone, Chris Walldorf
Director of Photography/Camera Operator: Adam Stone (Mortimer Jones)
Editor: Chris Walldorf (Mortimer Jones)
Graphics and Effects: Joey Beason (Edit at Joes)
Additional Color Correction: Joe Murray (Edit at Joes)
Tokyo Production Managers: Heath Cozens, Sawako Imai

Which Asian language sounds the best in your POV? (Final)

Musculoskeletal Simulation-based Study of Biped Locomotion



Paper Abstract:
Researchers have hypothesized that animal locomotory patterns seen are consistent with the resonant frequencies endowed by their musculoskeletal structures. Further it is posited that systems succeed in minimizing their energy expenditure by moving at this resonant frequency. We choose to systematically study this hypothesis in the specific context of bipedal locomotion.

Researchers have sought to correlate the preferred strike frequency with the resonant frequencies of the model or used indirect measurement such as oxygen consumption, electromyography (EMG) to assess expended effort. In our study, we employed virtual prototyping with a capable musculoskeletal simulation model to study the same hypothesis. We benchmark against the available literature and demonstrate that valuable insights can be obtained that can complement the current knowledge-base in biped locomotion.

*This paper won the "Best Poster Award" at the conference.

Ptolemy and Homer, or the power of epicycles.