OAGM & ARW 2017

OAGM & ARW 2017


The Workshop will take place in May 10th-12th, 2017 in Vienna, Palais Eschenbach and is organized by Technical University of ViennaAIT Austrian Institute of Technology and UAS Technikum Wien.

The meeting is organized by two independent groups:

  • OAGM/AAPR addresses image processing, pattern recognition and computer vision
  • ARW addresses vision-based control of robots and autonomous vehicles.

Whom we want to address:

  • Research - Papers on academic research (officially published or "in progress")
  • Students - Papers resulting from relevant master or bachelor theses
  • Industry - Applications and exhibition of latest developments in robots and machine vision.

What is our aim:

  • Bringing together different disciplines to strengthen future cooperation
  • Discussing current topics in both or/and joint fields.
Program Highlights

The program will include three invited talks, oral presentations of referred contributions, a student-paper track as well as industry presentations and demonstrations.


  • Harold Artes (robart GmbH): Our future with consumer robotics and what we can do to make it happen
  • Pedro Sanz (Universitat Jaume): Recent Achievements in Underwater Intervention Systems: the Role of Perception & Robotic Manipulation
  • Daniel Cremers (TU München): Dense & Direct Methods for 3D Reconstruction & Visual SLAM
Organization & Sponsoring

The workshop is organized under the auspices of TU Vienna, AIT Austrian Institute of Technology and UAS Technikum Wien.

The workshop will be supported by GMAR – Gesellschaft für Mess-, Automatisierungs- und Robotertechnik, by the IEEE Austria Section, by the IEEE Robotics and Automation Society Austrian Chapter and by the OCG - Oesterreichische Computer Gesellschaft.

Conference Chair:

  • Markus Vincze, TU Vienna

ARW Co-Chairs:

  • Wilfried Kubinger, UAS Technikum Wien
  • Andreas Müller, JKU Linz
  • Markus Vincze, TU Vienna

OAGM/AAPR Co-Chairs:

  • Bernhard Blaschitz, AIT
  • Svorad Stolc, AIT
  • Peter M. Roth, TU Graz

Web Chair:

  • Friedrich Praus, UAS Technikum Wien