Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Surfaces in range image understanding
Surfaces in range image understanding
A Data-Driven Intermediate Level Feature Extraction Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational strategies for object recognition
ACM Computing Surveys (CSUR)
Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms
The 3rd International Symposium on Experimental Robotics III
Computer Vision Interaction for Virtual Reality
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Methodologies for immersive robot programming in an augmented reality environment
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
Robot programming using augmented reality: An interactive method for planning collision-free paths
Robotics and Computer-Integrated Manufacturing
A novel AR-based robot programming and path planning methodology
Robotics and Computer-Integrated Manufacturing
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Task definition methods for robotic systems are often difficult to use. The "on-line" programming methods are often time expensive or risky for the human operator or the robot itself. On the other hand, "off-line" techniques are tedious and complex. In addition operator training is costly and time consuming. In a Virtual Reality Robotics Environment (VRRE), users are not asked to write down complicated functions, but can operate complex robotic systems in an intuitive and cost-effective way. However a VRRE is only effective if all the environment changes and object movements are fed-back to the virtual manipulating system. The paper describes the use of a VRRE for a semi-autonomous robot system comprising an industrial 5-axis robot, its virtual equivalent and a model based vision system used as feed-back. The user is immersed in a 3-D space built out of models of the robot's environment. He directly interacts with the virtual "components", defining tasks and dynamically optimizing them. A model based vision system locates objects in the real workspace to update the VRRE through a bi-directional communication link. In order to enhance the capabilities of the VRRE, a reflex-type behavior based on vision has been implemented. By locally (independently of the VRRE) controlling the real robot, the operator is discharged of small environmental changes due to transmission delays. Thus once the tasks have been optimized on the VRRE, they are sent to the real robot and a semi autonomous process ensures their correct execution thanks to a camera directly mounted on the robot's end effector. On the other hand if the environmental changes are too important, the robot stops, re-actualizes the VRRE with the new environmental configuration, and waits for task redesign. Because the operator interacts with the robotic system at a task oriented high level, VRRE systems are easily portable to other robotics environments (mobile robotics and micro assembly).