Robotic Secrets Revealed, Episode 001
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Uploaded by USNRL on Sep 27, 2011
A Naval Research Laboratory (NRL) scientist shows a magic trick to a Mobile-Dextrous-Social Robot, demonstrating the robot's use and interpretation of gestures.
The video highlights recent gesture recognition work and NRL's novel cognitive architecture, ACT-R/E. While set in a popular game of skill, this video illustrates several Navy relevant issues, including: computational cognitive architecture that allows autonomous function and integrates perceptual information with higher level cognitive reasoning; gesture recognition for shoulder-to-shoulder human-robot interaction; and anticipation and learning on a robotic system. Such abilities will be critical for future Naval Autonomous systems for persistent surveillance, tactical mobile robots and other autonomous platforms.
Researchers at NRL's Navy Center for Applied Research in Artificial Intelligence (NCARAI), within the laboratory's Information Technology Division, received the "Most Informative Video" award at the 21st International Joint Conference on Artificial Intelligence held in California. The video was produced by Anthony Harrison, Ben Fransen, Magdalena Bugajska, and Greg Trafton.
NCARAI is engaged in research and development efforts designed to address the application of artificial intelligence technology and techniques to critical Navy and national problems. Research is directed toward understanding the design and operation of systems capable of improving performance based on experience; efficient and effective interaction with other systems and with humans; sensor-based control of autonomous activity; and the integration of varieties of reasoning as necessary to support complex decision-making.
To view Robotic Secrets Revealed, Episode 002, visit http://go.usa.gov/5ts.
For more information about the Navy Center for Applied Research in Artificial Intelligence, visit http://www.nrl.navy.mil/aic/.
For more NRL videos, visit http://www.nrl.navy.mil/media/videos/.
Video Credit: Intelligent Systems Section, Navy Center for Applied Research in Artificial Intelligence
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