Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
The Beltrami flow is an efficient non-linear filter, that was shown to be effective for color image processing. The corresponding anisotropic diffusion operator strongly couple...
Lorina Dascal, Guy Rosman, Xue-Cheng Tai, Ron Kimm...
We introduce mixed physical and digital authoring environments for children, which invite them to create stories with enriched drawings that are programmed to control robotic char...
Kimiko Ryokai, Michael Jongseon Lee, Jonathan Mica...
We take the work practices of fire emergency responders as the basis for developing simulations to teach team coordination. We introduce non-mimetic simulation: economic operation...
Zachary O. Toups, Andruid Kerne, William A. Hamilt...