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  1. No Access

    Chapter and Conference Paper

    Introspective Robot Perception Using Smoothed Predictions from Bayesian Neural Networks

    This work focuses on improving uncertainty estimation in the field of object classification from RGB images and demonstrates its benefits in two robotic applications. We employ a Bayesian Neural Network (BNN),...

    Jianxiang Feng, Maximilian Durner, Zoltán-Csaba Márton in Robotics Research (2022)

  2. Article

    Open Access

    Towards Autonomous Planetary Exploration

    Planetary exploration poses many challenges for a robot system: From weight and size constraints to extraterrestrial environment conditions, which constrain the suitable sensors and actuators. As the distance ...

    Martin J. Schuster, Sebastian G. Brunner in Journal of Intelligent & Robotic Systems (2019)

  3. No Access

    Article

    Improving object orientation estimates by considering multiple viewpoints

    This article describes a probabilistic approach for improving the accuracy of general object pose estimation algorithms. We propose a histogram filter variant that uses the exploration capabilities of robots, ...

    Zoltán Csaba Márton, Serkan Türker, Christian Rink, Manuel Brucker in Autonomous Robots (2018)

  4. No Access

    Article

    Part-Based Geometric Categorization and Object Reconstruction in Cluttered Table-Top Scenes

    This paper presents an approach for 3D geometry-based object categorization in cluttered table-top scenes. In our method, objects are decomposed into different geometric parts whose spatial arrangement is repr...

    Zoltan-Csaba Marton, Ferenc Balint-Benczedi in Journal of Intelligent & Robotic Systems (2014)