We developed three interfaces to allow non-expert users to teach name for new visual objects and compare them through user's studies in term of learning efficiency.
Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat
This paper describes two steps in the evolution of human-robot interaction designs developed by the University of Massachusetts Lowell (UML) and the Idaho National Laboratory (INL...
Holly A. Yanco, Brenden Keyes, Jill L. Drury, Curt...
This paper presents an integrated region-based and gradient-based supervised method for segmentation of a patient magnetic resonance images (MRI) of the shoulder joint. The method...
Nhat Tan Nguyen, Denis Laurendeau, Alexandra Branz...
— We present a new behavior selection system for human-robot interaction that maps virtual buttons overlaid on the physical environment to the robot’s behaviors, thereby creati...
Hai Nguyen, Advait Jain, Cressel D. Anderson, Char...
The pervasiveness of computers in everyday life coupled with recent rapid advances in computer technology have created both the need and the means for sophisticated Human Computer...
Tobias Peter Kurpjuhn, Alexa Hauck, Kevin Nickels,...