Dr. Michael Suppa, Roboception GmbH, Germany
Prof. Markus Vincze, Technical University of Vienna, Austria
Maximilian Beinhofer, Head of Development Robotics and Computer Vision, TGW Logistics Group, AppliedAI from the logistics perspective. Confirmed.
Niki Kousi, Laboratory for Manufacturing Systems and Automation, University of Patras, AI and Human Robot Collaboration (HRC) in the context of reconfigurable factories. Confirmed.
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 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. AppliedAI solutions enter this domain more and more, especially on tasks such as order commissioning and end-of line operations, where flexibility in highly required in order to enable flexible production. 3D vision in combination with machine learning algorithms show great potential in this domain.
Agile Manufacturing requires a fast adaptation of a system to new environments. It is key to reduce the amount of training data for these applications in order to achieve the KPIs. In this workshop, approaches from research and industry are presented and enriched by end-user experiences and corresponding requirements. A major part is given to an interactive session with the attendees.
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.
Please download the slideset here...
Agenda for March 4th, 2020, 16:15-17:45 hrs:
The workshop will consist of a series of presentations by speakers from both academia and industry, followed by an interactive round table discussion with all participants and speakers.
The first part will tackle the topic from the academic perspective showing the current state of perception, deep learning and cognition techniques in industrial automation and logistics. On the second part, talks from industry will show how AppliedAI works in practice, both from the solution provider and the end-customer perspective.
16:15 – 16:25: Introduction by the moderators/definition of key questions and scope
16:25 – 17:15: 10-minute presentations by 4 invited speakers
17:15 – 17:35: Interactive session/round table discussion of the key questions with all speakers and the audience
17:35 – 17:45: Conclusion and take home messages