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5 Result(s)

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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)

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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)

  3. No Access

    Article

    Perception for Everyday Human Robot Interaction

    The ability to build robotic agents that can perform everyday tasks heavily depends on understanding how humans perform them. In order to achieve close to human understanding of a task and generate a formal re...

    Jan-Hendrik Worch, Ferenc Bálint-Benczédi, Michael Beetz in KI - Künstliche Intelligenz (2016)

  4. No Access

    Chapter

    RoboSherlock: Unstructured Information Processing Framework for Robotic Perception

    A pressing question when designing intelligent autonomous systems is how to integrate the various subsystems concerned with complementary tasks. Robotic vision must provide task relevant information about the ...

    Michael Beetz, Ferenc Bálint-Benczédi… in Handling Uncertainty and Networked Structu… (2015)

  5. No Access

    Chapter

    Interactive Segmentation of Textured and Textureless Objects

    This article describes interactive object segmentation for autonomous service robots acting in human living environments. The proposed system allows a robot to effectively segment textured and textureless obje...

    Karol Hausman, Dejan Pangercic… in Handling Uncertainty and Networked Structu… (2015)