Using a metrology system simulation approach, an algorithm is presented to determine the best position for a robot mounted 3D vision system. Point cloud data is simulated, taking into account sensor performance, to create a ranked list of the best camera positions. These can be used by a robot to autonomously determine the most advantageous camera position for locating a target object. The algorithm is applied to an Ensenso active stereo 3D camera. Results show that when used in combination with a RANSAC object recognition algorithm, it increased positional precision by two orders of magnitude, from worst to best case
A robotic vision system has been designed and analyzed for real time tracking of maneuvering objects...
This thesis describes camera based methods for determining positions and orientations of objects in ...
Abstract: Mobile robots are characterised by their capacity to move autonomously in an environment t...
Using a metrology system simulation approach, an algorithm is presented to determine the best positi...
In the majority of vision applications, sensor calibration is a prerequisite to proper use of the se...
This paper describes an intelligent vision method, which is capable of reconstructing the robot e...
This thesis describes the design, development and implementation of a robot mounted active stereo vi...
which can be placed for example on a robot hand. This is done by taking 2D images of reference point...
This thesis describes the research part contributing to pose computation for accurate part positioni...
Robot calibration plays an increasingly important role in robot production as well as in robot oper...
With the development of industrial automation, location measurement of 3D objects is becoming more a...
ABSTRACT: Stereo Vision for assisted robot operations implies the use of special purpose techniques ...
In small to medium enterprises (SME), industrial robot arms are not used very much despite the fact ...
Computer vision discipline has gained popularity for the past few decades. One of the significant a...
Autonomous 3D object reconstruction is a special field of robotics that has come up in the last deca...
A robotic vision system has been designed and analyzed for real time tracking of maneuvering objects...
This thesis describes camera based methods for determining positions and orientations of objects in ...
Abstract: Mobile robots are characterised by their capacity to move autonomously in an environment t...
Using a metrology system simulation approach, an algorithm is presented to determine the best positi...
In the majority of vision applications, sensor calibration is a prerequisite to proper use of the se...
This paper describes an intelligent vision method, which is capable of reconstructing the robot e...
This thesis describes the design, development and implementation of a robot mounted active stereo vi...
which can be placed for example on a robot hand. This is done by taking 2D images of reference point...
This thesis describes the research part contributing to pose computation for accurate part positioni...
Robot calibration plays an increasingly important role in robot production as well as in robot oper...
With the development of industrial automation, location measurement of 3D objects is becoming more a...
ABSTRACT: Stereo Vision for assisted robot operations implies the use of special purpose techniques ...
In small to medium enterprises (SME), industrial robot arms are not used very much despite the fact ...
Computer vision discipline has gained popularity for the past few decades. One of the significant a...
Autonomous 3D object reconstruction is a special field of robotics that has come up in the last deca...
A robotic vision system has been designed and analyzed for real time tracking of maneuvering objects...
This thesis describes camera based methods for determining positions and orientations of objects in ...
Abstract: Mobile robots are characterised by their capacity to move autonomously in an environment t...