A telerobotic stereo vision system is used to extend operator's eye-hand motion co-ordination to a distance and has been used in many applications. One of the most critical problems of such system is communication delay that leads to teleoperation instability. This problem can be minimized by using Augmented Reality (AR) concepts of superimposing virtual objects onto the real video image of the workspace to create a simulation plan in the local machine. This facilitates trial and error increasing task safety with reduced network interactions. In this paper, a detailed model to augment a given stereo vision system with AR is presented. At first, a six DOF 3D graphical arm is designed and then superimposed onto the video image using camera calibration and registration methods. Motion activation algorithms are developed and interfaces are designed to facilitate task simulations. Data transmission security and integrity over the network are also discussed. The system is implemented using Microsoft.NET with Visual C# and DirectX 9 to augment a stereo vision system comprising of a PUMA-560 robot operating over a LAN.
|Title of host publication||Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - 20 Nov 2015|
|Name||Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
- Stereo vision system
- augmented reality
- data security
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering