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Bibliographic Details
Main Authors: Zauner, Klaus, Dib, Josef El, Gattringer, Hubert, Mueller, Andreas
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2510.23227
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author Zauner, Klaus
Dib, Josef El
Gattringer, Hubert
Mueller, Andreas
author_facet Zauner, Klaus
Dib, Josef El
Gattringer, Hubert
Mueller, Andreas
contents Motion planning for robotic manipulators relies on precise knowledge of the environment in order to be able to define restricted areas and to take collision objects into account. To capture the workspace, point clouds of the environment are acquired using various sensors. The collision objects are identified by region growing segmentation and VCCS algorithm. Subsequently the point clusters are approximated. The aim of the present paper is to compare different sensors, to illustrate the process from detection to the finished collision environment and to detect collisions between the robot and this environment.
format Preprint
id arxiv_https___arxiv_org_abs_2510_23227
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Workspace Registration and Collision Detection for Industrial Robotics Applications
Zauner, Klaus
Dib, Josef El
Gattringer, Hubert
Mueller, Andreas
Robotics
Motion planning for robotic manipulators relies on precise knowledge of the environment in order to be able to define restricted areas and to take collision objects into account. To capture the workspace, point clouds of the environment are acquired using various sensors. The collision objects are identified by region growing segmentation and VCCS algorithm. Subsequently the point clusters are approximated. The aim of the present paper is to compare different sensors, to illustrate the process from detection to the finished collision environment and to detect collisions between the robot and this environment.
title Workspace Registration and Collision Detection for Industrial Robotics Applications
topic Robotics
url https://arxiv.org/abs/2510.23227