My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
— Human hands are capable of many dexterous grasping and manipulation tasks. To understand human levels of dexterity and to achieve it with robotic hands, we constructed an anato...
Ashish Deshpande, Jonathan Ko, Dieter Fox, Yoky Ma...
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
The Student Contest on Software Engineering (SCORE), organized for the first time in conjunction with the International Conference on Software Engineering (ICSE) 2009, attracted 5...
Dino Mandrioli, Stephen Fickas, Carlo A. Furia, Me...