— In order to define an architecture for task and motion planning of a mobile robot, we propose the CellRRT path planner that combines the advantages of planning approaches by d...
In this paper, we propose two effective methods to perform automatic template selection where the goal is to select prototype signature templates for a user from a given set of on...
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
Abstract— This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach t...