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Anders Glent Buch

7 accepted papers

2023

Contact-Based Pose Estimation of Workpieces for Robotic Setups

ICRA 2023poster

This paper presents a method for contact-based pose estimation of workpieces using a collaborative robot. The proposed pose estimation exploits positions and surface normal vectors along an arbitrary path on an object with known geometry, where surface normal vectors are estimated based on contact f…

Cited by 4SourceScholar
2022

A Flexible and Robust Vision Trap for Automated Part Feeder Design

IROS 2022poster

Fast, robust, and flexible part feeding is essential for enabling automation of low volume, high variance assembly tasks. An actuated vision-based solution on a traditional vibratory feeder, referred to here as a vision trap, should in principle be able to meet these demands for a wide range of part…

Cited by 5SourceScholar
2022

ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data

IROS 2022poster

Pose estimation is the task of determining the 6D position of an object in a scene. Pose estimation aid the abilities and flexibility of robotic set-ups. However, the system must be configured towards the use case to perform adequately. This configuration is time-consuming and limits the usability o…

Cited by 9SourceScholar
2022

SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation With Learnt Surface Embeddings

CVPR 2022poster

We present an approach to learn dense, continuous 2D-3D correspondence distributions over the surface of objects from data with no prior knowledge of visual ambiguities like symmetry. We also present a new method for 6D pose estimation of rigid objects using the learnt distributions to sample, score…

Cited by 137PDFcodeScholar
2017

Prediction of ICP pose uncertainties using Monte Carlo simulation with synthetic depth images

IROS 2017poster

In robotics, vision sensors are used to estimate the poses of objects in the environment. However, it is a fundamental problem that the estimated poses are not always accurate enough for a given robotic task. Proper sensor placement can mitigate this problem. We present a method which can predict th…

Cited by 35SourceScholar
2017

Robustifying correspondence based 6D object pose estimation

ICRA 2017poster

We propose two methods to robustify point correspondence based 6D object pose estimation. The first method, curvature filtering, is based on the assumption that low curvature regions provide false matches, and removing points in these regions improves robustness. The second method, region pruning, i…

Cited by 2SourceScholar
2017

Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

ICCV 2017poster

It is possible to associate a highly constrained subset of relative 6 DoF poses between two 3D shapes, as long as the local surface orientation, the normal vector, is available at every surface point. Local shape features can be used to find putative point correspondences between the models due to t…

Cited by 83PDFScholar