16. May 2019

PROFACTOR: Lively Exchanges Between Robotics Experts in Steyr

PROFACTOR has been conducting research and development in the technology fields of robotics and computer vision for over 20 years. In recent years these technologies have been given additional impetus by developments such as deep learning and fail-safe robots and are entering new areas of application. The frequent exchange of views and information between science and industry is essential for new innovations.

To this end, the Austrian Robotics Workshop and OAGM Workshop on topics relating to robotics and vision was held at the University of Applied Sciences Steyr from 9–10 May. Speakers from industry and science presented the latest developments from research and product development to the approximately 80 participants.

Besides four lectures by prominent guest speakers, the symposium also featured several parallel sessions and presentations of featured papers (papers that had already been presented at major international conferences). The lectures focused on aspects of human/machine interaction, activity recognition and tracking, and the regulation of future humanoid robots. These are key topics that can lead to ground-breaking innovations in industry in the coming years.

The ARW and OAGM is an annual event devoted to robotics and computer vision. The organizers and venue change every year. This year, PROFACTOR organized these two conferences, the most important nationally in the fields of robotics (Austrian Robotics Workshop - ARW) and computer vision (OAGM), as a joint event.

“With events of this calibre in Steyr PROFACTOR aims to boost the exchange between industry and science and put examples of industrial application in the spotlight,” says Andreas Pichler, CTO of PROFACTOR.

At the event, a Best Paper Award and Best Poster Award were presented. PROFACTOR congratulates:

Best Research Paper Award ARW:

  • Raphael Deimel. A Dynamical System for Governing Continuous, Sequential and Reactive Behaviors

Best Poster Award ARW

  • Dominik Hofer, Simon Brunauer and Hannes Waclawek. Multilingual Speech Control for ROS-driven Robots

Best Student Research Paper OAGM

  • Robert Harb and Patrick Knöbelreiter. Efficient Multi-Task Learning of Semantic Segmentation and Disparity Estimation
  • Simon Brenner and Robert Sablatnig. On the Use of Artificially Degraded Manuscripts for Quality Assessment of Readability Enhancement Methods

Best Poster Paper OAGM

  • Muntaha Sakeena and Matthias Zeppelzauer. Combining Deep Learning and Variational Level Sets for Segmentation of Buildings

Andreas Pichler opens the Austrian Robotics Workshop and OAGM Workshop in Steyr.