3D Vision Guided Robotic Charging Station for Electric and Plug-in Hybrid Vehicles

Justinas Miseikis, Matthias Rüther, Bernhard Walzel, Mario Hirz, Helmut Brunner

Publikation: KonferenzbeitragPaperBegutachtung

Abstract

Electric vehicles (EVs) and plug-in hybrid vehicles (PHEVs) are rapidly gaining popularity on our roads. Besides a comparatively high purchasing price,
the main two problems limiting their use are the short driving range and inconvenient charging process. In this paper we address the following by presenting an automatic robot-based charging station with 3D vision
guidance for plugging and unplugging the charger. First of all, the whole system concept consisting of a 3D vision system, an UR10 robot and a charging station
is presented. Then we show the shape-based matching methods used to successfully identify and get the exact pose of the charging port. The same approach is used to calibrate the camera-robot system by using just
known structure of the connector plug and no additional markers. Finally, a three-step robot motion planning procedure for plug-in is presented and functionality is demonstrated in a series of successful experiments.
Originalspracheenglisch
PublikationsstatusVeröffentlicht - 2017
VeranstaltungÖAGM/AAPR ARW 2017: Joint Workshop on “Vision, Automation & Robotics” - Palais Eschenbach, Wien, Österreich
Dauer: 10 Mai 201712 Mai 2017
http://www.roboticsworkshop.at/index.php

Konferenz

KonferenzÖAGM/AAPR ARW 2017
KurztitelÖAGM/AAPR ARW 2017
Land/GebietÖsterreich
OrtWien
Zeitraum10/05/1712/05/17
Internetadresse

Fingerprint

Untersuchen Sie die Forschungsthemen von „3D Vision Guided Robotic Charging Station for Electric and Plug-in Hybrid Vehicles“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren