Jens Lambrecht: "Taking Intelligence and Assistance to the Machine: AI & AR on
the Shop Floor".

Jens Lambrecht is Juniorprofessor at TU Berlin for the chair "Industry-grade
Networks and Clouds" introducing the scope of his work towards deep learning in
industrial robotics as well as Augmented Reality usage for intuitive
interaction between humans and mobile robots on the shop floor.


Jan Guhl: "A Service-oriented Robotic Manufacturing System: Lessons Learned
from Participating in the World Robot Challenge 2018"

In order to manage fast changing market and customer requirements,
production systems need to become more and more flexible. Therefore, the
World Robot Challenge fosters the development of new agile manufacturing
systems and evaluates them under tough conditions. In this paper, we
introduce our service-oriented robotic system with which we participated
in the challenge. The distributed software architecture covers four
components: Robot Controller, Vision Module, Configuration Server and
Process Controller. In order to enable a fast hardware setup, we used
one collaborative robot and developed additional jigs and tools to solve
the tasks. During development and testing under competitive conditions,
we experienced the immediate benefits and drawbacks of our distributed
architecture and its individual components. As a result, we can improve
the partitioning of our services. The object detection based on a
Convolutional Neural Network had to deal with false classifications due
to changing lighting conditions. The combination of rough position
estimation by using a global camera and a precise calibrated wrist
camera for the visual servoing has turned out to be an essential element.