Intrinsic parametrization for approximation
Computer Aided Geometric Design
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Robot programming by demonstration (RPD): supporting the induction by human interaction
Machine Learning - Special issue on robot learning
Curves and surfaces for CAGD: a practical guide
Curves and surfaces for CAGD: a practical guide
Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Model based vision as feedback for virtual reality robotics environments
VRAIS '95 Proceedings of the Virtual Reality Annual International Symposium (VRAIS'95)
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Augmented Reality for Programming Industrial Robots
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Speeding up the convergence of online heuristic search and scaling up offline heuristic search
Speeding up the convergence of online heuristic search and scaling up offline heuristic search
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Advancements in robotics have gained much momentum in recent years. Industrial robotic systems are increasingly being used outside the factory floor, evident by the growing presence of service robots in personal environments. In light of these trends, there is currently a pressing need of identifying new ways of programming robots safely, quickly and more intuitively. These methods should focus on service robots and address long outstanding Human-Robot Interaction issues in industrial robotics simultaneously. In this paper, the potential of using an Augmented Reality (AR) environment to facilitate immersive robot programming in unknown environments is explored. The benefits of an AR environment over conventional robot programming approaches are discussed, followed by a description of the Robot Programming using AR (RPAR) system developed in this research. New methodologies for programming two classes of robotic tasks using RPAR are proposed. A number of case studies are presented and the results discussed.