A reconfigurable robot-sensor system for handling wooden parts

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

This paper considers modeling and design of configurable autonomous robot systems and gives outlines and an example for flexible robotic handling of parts in industrial applications. We have focus on a re-configurable robot-sensor subsystem, which detects and localizes parts in the working space of the robot. The 3D point cloud based object detection and recognition subsystem is based on a variety of exchangeable and configurable components. The configuration concept is based on a flexible architecture, where components and subsystems are integrated with interfaces based on ROS (Robot Operating System).
Original languageFinnish
Title of host publicationProceedings
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventAutomaatiopäivät22 - Vaasa, Finland
Duration: 23 Mar 201724 Mar 2017

Seminar

SeminarAutomaatiopäivät22
CountryFinland
CityVaasa
Period23/03/1724/03/17

Keywords

  • ros
  • object recognition
  • industrial robots
  • part handling

Cite this

@inproceedings{59fc71e98562415e9158978cc89ef4c3,
title = "A reconfigurable robot-sensor system for handling wooden parts",
abstract = "This paper considers modeling and design of configurable autonomous robot systems and gives outlines and an example for flexible robotic handling of parts in industrial applications. We have focus on a re-configurable robot-sensor subsystem, which detects and localizes parts in the working space of the robot. The 3D point cloud based object detection and recognition subsystem is based on a variety of exchangeable and configurable components. The configuration concept is based on a flexible architecture, where components and subsystems are integrated with interfaces based on ROS (Robot Operating System).",
keywords = "ros, object recognition, industrial robots, part handling",
author = "Jukka Koskinen and Tapio Heikkil{\"a} and Jari Ahola and Tuomas Sepp{\"a}l{\"a}",
year = "2017",
language = "Finnish",
booktitle = "Proceedings",

}

Koskinen, J, Heikkilä, T, Ahola, J & Seppälä, T 2017, A reconfigurable robot-sensor system for handling wooden parts. in Proceedings. Automaatiopäivät22, Vaasa, Finland, 23/03/17.

A reconfigurable robot-sensor system for handling wooden parts. / Koskinen, Jukka; Heikkilä, Tapio; Ahola, Jari; Seppälä, Tuomas.

Proceedings. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - A reconfigurable robot-sensor system for handling wooden parts

AU - Koskinen, Jukka

AU - Heikkilä, Tapio

AU - Ahola, Jari

AU - Seppälä, Tuomas

PY - 2017

Y1 - 2017

N2 - This paper considers modeling and design of configurable autonomous robot systems and gives outlines and an example for flexible robotic handling of parts in industrial applications. We have focus on a re-configurable robot-sensor subsystem, which detects and localizes parts in the working space of the robot. The 3D point cloud based object detection and recognition subsystem is based on a variety of exchangeable and configurable components. The configuration concept is based on a flexible architecture, where components and subsystems are integrated with interfaces based on ROS (Robot Operating System).

AB - This paper considers modeling and design of configurable autonomous robot systems and gives outlines and an example for flexible robotic handling of parts in industrial applications. We have focus on a re-configurable robot-sensor subsystem, which detects and localizes parts in the working space of the robot. The 3D point cloud based object detection and recognition subsystem is based on a variety of exchangeable and configurable components. The configuration concept is based on a flexible architecture, where components and subsystems are integrated with interfaces based on ROS (Robot Operating System).

KW - ros

KW - object recognition

KW - industrial robots

KW - part handling

M3 - Conference article in proceedings

BT - Proceedings

ER -