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within Ferenc Bálint-Benczédi Remove this filter Robotics Remove this filter

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    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)

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    Chapter and Conference Paper

    6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data

    We present a perception system for mobile manipulation tasks. The primary design goal of the proposed system is to minimize human interaction during system setup which is achieved by several means, such as au...

    Manuel Brucker, Maximilian Durner… in Proceedings of the 2018 International Symp… (2020)