Workshop on World Perception for Autonomous Applications in Agile Manufacturing

World Perception for Autonomous Applications in Agile Manufacturing

Organisers:

Dr. Michael SUPPA, Roboception GmbH, Germany

Prof Markus Vincze, Technical University of Vienna, Austria.

Dr. Loreto Susperregi, IK4 Tekniker, Spain.

Dr. Maximo Roa, Roboception GmbH, Germany.

Motivation and Objectives:

Perception is one of the key technologies for flexible production, including applications such as pick and place, machine tending, assembly, finishing, and quality testing. Robots must be able to reliably detect and locate work pieces, reference points, and human collaborators. In current semi-structured environment conditions for production, mostly 2D vision algorithms are used for applications such as object detection and pose estimation. In logistics, one of the hot applications in collaborative robotics nowadays, manual work is predominant due to the complexity of tasks and the variation of objects in the picking and packing stations. In order to enable flexible production, 3D vision technologies and methods are required. Also, the recent use of AI technologies opens up new ways of data interpretation and analysis. Therefore, the connection of these methods with innovative approaches show great potential for coping with perception requirements in agile production and logistics.

Agile Manufacturing requires a fast adaptation of a system to new environments. Many (especially learning) approaches require an extensive re-training of the system in the new environment. Current approaches aim at separation of the perception part from the general task description. This can be implemented through low-level perception modules, or through front-layers in the learning approaches. In both cases, the research in perception can help to do it more efficiently.

In this workshop, approaches from research and industry are presented and then discussed in an interactive session with the attendees. Business models for open source software and commercial platforms including data models are addressed to foster the discussion on the topic.

The presentations and notes on the discussion about the key questions will be provided on the website and distributed among the participants. The results will be considered in the future work by the Topic Group on Perception and its contributions to the Work Programme.

Agenda for March 21st, 2019, Salon B:

10:45 -10:55: Introduction by the moderators/definition of key questions (Slides)

10:55-11:55: 12min presentations by selected participants:

Use cases in perception for Agile Manufactoring, Dr. Maximo Roa, Roboception GmbH, Germany (Slides)
Vision techniques for robots in industrial and home environments, Prof. Markus Vincze, Technical University of Vienna, Austria (Slides)
Intelligent, flexible and safe operations in future factories, Dr. Loreto Susperregi, IK4-Tekniker, Spain (Slides)
Perception challenges in e-commerce, Dr. Graham Deacon, Ocado Technologies, UK (Slides)
InFuse, Perception for Space Applications, Dr. Jeremy Gancet, SAS, Belgium (Slides)

11:55-12:15: Interactive session/round table discussion of the key questions with all speakers and the audience

12:15-12:30: Conclusion for roadmapping and take home messages

Preparation

The following three questions should focus the discussion:

  1. What perception tools, toolboxes and approaches (learning, model-based) are currently used in industrial automation and logistics, and what are their advantages/shortcomings?
  2. Which are major challenges and potential step changes i.e., what is required from the tools/platforms, in order to increase flexibility in production?
  3. Which business models in terms of data/software tools/platforms do you see and how do open source tools and commercial tools adapt to these models?

European Robotics Forum 

The workshop will take place on March 21st, 2019. ERF takes place from March 20th until March 22nd, 2019 in Bucharest/Romania. Please find more information on  www.erf2019.eu/

Contact

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Roboception GmbH
Kaflerstr. 2
81241 Munich
Germany

+49 89 889 50 79-0

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