9 Result(s)
within
Zoltan-Csaba Marton
Engineering
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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),...
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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...
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Chapter and Conference Paper
Simultaneous Calibration and Map**
We present evaluation experiments of a hand-eye calibration and camera-camera calibration method, which is applicable to cases where classical calibration methods fail. As described in our earlier works, the c...
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Article
Open AccessTowards 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 ...
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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, ...
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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 ...
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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...
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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...
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Chapter and Conference Paper
Reconstruction and Verification of 3D Object Models for Gras**
In this paper we present a method for approximating complete models of objects with 3D shape primitives, by exploiting common symmetries in objects of daily use. Our proposed approach reconstructs boxes and cy...
