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Occupancy grids have been used for a variety of applications in the field of robotics. These grids have typically been created based on data provided by range sensors such as laser or ultrasound. Current practice is to create the grids based on a probabilistic sensor model such as [1]. The use of stereovision to create occupancy grids is less common. This paper will detail a novel approach to compute...
This paper describes a 3D shape reconstruction method using vision sensors targeted at domestic robotics applications. We propose a new method to fuse stereo disparity map and Shape from “Silhouette” (SFS). What we mean by silhouette in this paper is different from the existing silhouette definition. The silhouette here is not obtained from back projecting the object contour to the image plane but...
Estimating the camera pose in stereo vision systems is an important issue in computer vision and robotics. One popular way to handle this problem consists of determining the essential matrix which minimizes the algebraic error obtained from image point correspondences. Unfortunately, this search amounts to solving a nonconvex optimization, and the existing methods either rely on some approximations...
In this paper a real time obstacle detection system for robots is presented. The technique is based on a single camera and no further sensors or encoders are required. The algorithm is independent of geometry and even moving objects can be detected. The system provides a top view map of the robotpsilas field of view in real-time. First, the images are segmented reasonably. Ground motion estimation...
Two of the most important solutions in position estimation are compared, in this paper, in order to test their efficiency in a multi-tracking application in an unstructured and complex environment. A particle filter is extended and adapted with a clustering process in order to track a variable number of objects. The other approach is to use a Kalman filter with an association algorithm for each of...
This paper presents advancement in microassembly and packaging automation accomplished using multiscale robotic platforms. We introduce M3 and mu3 - two unique multiscale platforms (M 3 - macro-meso-micro; mu3 $meso-micro-nano). The robots with their corresponding end-effectors are characterized in terms of accuracy, repeatability and resolution in positioning. A typical assembly application in the...
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