We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Abstract— Trajectory planning and optimization is a fundamental problem in articulated robotics. It is often viewed as a two phase problem of initial feasible path planning aroun...
Navigationalpath planning is a classicalproblem in autonomous mobile robotics. Most AI approachesto path planning use goal-directedheuristicsearch of problem spaces defined by spa...
Ashok K. Goel, Michael W. Donnellan, Nancy Vazquez...
— It is through our mental models of the world that we understand it. Advances in science are nothing more than improvements to the model. This paper presents the development and...
We present an approach for automatically generating complete process plans, including xturing and CNC code, from high level shape feature part descriptions. The demonstration syst...
Mark Bloomenthal, Richard F. Riesenfeld, Elaine Co...