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They Can Learn licenses interactive learning robots to Cambridge schools. Article

Learning Robots studies virtual robots in 3- dimensional video game- like worlds with realistic simulated physics. Article

Japan child robot mimicks infant learning. Article

NASA and Caltech test Steep-Terrain Rover Article

	They Can Learn, NASA and the Space Foundation announce SpaceFIRST 2015 Robotics Prize Press Release March 31, 2009
14 Years Later: Gestural instruction learning robot using informationinfrastructure 14 years ago, this was breakthrough technology. Advances in gestural instruction learning algorithms, first proposed by Yamaguchi et al., at Utsunomiya Univ (Japan) have progressed well beyond responses to video. Applying new algorithms to moving robots in social learning experiments confirms that robots understand on levels equal to young children. Not only can they interpet human signals (body language) appropriately, they can make sense of symbolic language (e.g., text) Today, new algorithms combined with extensive content specific databases make it possible for robots to tutor students in subject matters from mathematics to English to world languages, drawing on clues from a student's body language (e.g., level of motivation) and written or spoken work (e.g., analysis of mistakes made) and use appropriate methods to help the student overcome the difficulty. This is the ultimate one-on-one teaching tool that allows classroom teachers to provide differentiated instruction on an unprecedented level. Critics of these learning systems argue that teachers are no longer necessary, except to watch after the robots.

They Can Learn, NASA and the Space Foundation announce SpaceFIRST 2015 Robotics Prize

Press Release March 31, 2009

14 Years Later: Gestural instruction learning robot using informationinfrastructure

14 years ago, this was breakthrough technology. Advances in gestural instruction learning algorithms, first proposed by Yamaguchi et al., at Utsunomiya Univ (Japan) have progressed well beyond responses to video. Applying new algorithms to moving robots in social learning experiments confirms that robots understand on levels equal to young children. Not only can they interpet human signals (body language) appropriately, they can make sense of symbolic language (e.g., text)

Today, new algorithms combined with extensive content specific databases make it possible for robots to tutor students in subject matters from mathematics to English to world languages, drawing on clues from a student's body language (e.g., level of motivation) and written or spoken work (e.g., analysis of mistakes made) and use appropriate methods to help the student overcome the difficulty. This is the ultimate one-on-one teaching tool that allows classroom teachers to provide differentiated instruction on an unprecedented level. Critics of these learning systems argue that teachers are no longer necessary, except to watch after the robots.

They Can Learn is a commercial intelligent learning systems enterprise serving national interests through education and engineering.

Established in 2003, They Can Learn is a minority, woman-owned small business headquartered in Pasadena, CA with additional offices in Washington, DC.

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They Can Learn