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Modeling of video projectors in OpenGL for implementing a spatial augmented reality teaching system for assembly operations.

, , , , , , and . ICARSC, page 1-8. IEEE, (2019)

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Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform., , , , , , , and . J. Intell. Robotic Syst., 93 (3-4): 533-546 (2019)Bin Picking Approaches Based on Deep Learning Techniques: A State-of-the-Art Survey., , , , and . ICARSC, page 110-117. IEEE, (2022)Pose Invariant Object Recognition Using a Bag of Words Approach., , and . ROBOT (2), volume 694 of Advances in Intelligent Systems and Computing, page 153-164. Springer, (2017)Deep learning-based human action recognition to leverage context awareness in collaborative assembly., , , , and . Robotics Comput. Integr. Manuf., (2023)Using Simulation to Evaluate a Tube Perception Algorithm for Bin Picking., , , , and . Robotics, 11 (2): 46 (2022)Force control heuristics for surpassing pose uncertainty in mobile robotic assembly platforms., , , , and . ICARSC, page 130-136. IEEE, (2021)Sensor Placement Optimization using Random Sample Consensus for Best Views Estimation., , , , and . ICARSC, page 29-36. IEEE, (2023)2D Cloud Template Matching - A Comparison between Iterative Closest Point and Perfect Match., , , , , and . ICARSC, page 53-59. IEEE, (2016)Robust 3/6 DoF self-localization system with selective map update for mobile robot platforms., , , and . Robotics Auton. Syst., (2016)Object Segmentation for Bin Picking Using Deep Learning., , , and . ROBOT (2), volume 590 of Lecture Notes in Networks and Systems, page 53-66. Springer, (2022)