An ontology for CAD data and geometric constraints as a link between product models and
semantic robot task descriptions Page 1 An ontology for CAD data and geometric constraints as …

This paper presents an extension of Gaussian process implicit surfaces (GPIS) by the
introduction of geometric object priors. The proposed method enhances the probabilistic …

In the field of industrial design, most manufactured objects are designed using 3D CAD
(Computer-Aided Design) model. However, the original design may sometimes be lost or not …

Robotic gras** is one of the essential skills in robotics. From industrial to housework,
robots are required to handle objects, enabling them to interact with their surroundings …

In this paper, we propose a framework for intuitive task-based programming of robots using
geometric inter-relational constraints. The intended applications of this framework are robot …

This book illustrates basic principles, along with the development of the advanced
algorithms, to realize smart robotic systems. It speaks to strategies by which a robot …

This paper presents a method for estimating the six Degrees of Freedom (6DoF) pose of
texture-less primitive-shaped objects from depth images. As the conventional methods for …

In this paper, an approach for matching of primitive shapes detected from point clouds, to
boundary representations of primitive shapes contained in CAD models of …

We developed parameterized B-rep-based surface correspondence estimation (PABSCO),
which is a new category-level 3D object matching method to estimate the 6DoF poses and …

In order to develop an efficient and user-friendly supervisory system for robotassisted radio-
frequency ablation of liver tumors, we proposed and developed a new cognitive engine. This …