— Path planning algorithms that incorporate risk and uncertainty need to be able to predict the evolution of pathfollowing error statistics for each candidate plan. We present an...
— By combining a low-order model of forecast errors, the extended Kalman filter, and classical continuous optimization, we develop an integrated methodology for planning mobile ...
Abstract— This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm for visual servoing. A virtual visual servoing approach is used for 3D tracking...
— This paper presents the design, the development and the experiments on a two degrees of freedom (2DoF) microsystem. The originality of the microsystem is its ability to do angu...
Low power technology is impacting our society by creating the newly emerging digital consumer market, which leads to the nomadic life-style. In this paper, historical review of th...