David Wendorff

I am focusing on developing a benchmark to assess the industrial suitability of current 6D positioning methods for intuitive programming. This involves the creation and evaluation of new data sets and appropriate metrics. A robotic approach will be used to annotate the data with ground truth. This reduces the manual effort and helps to close the Sim2Real gap.

Furthermore, my research group is working on the development of a holistic approach for intuitive robot programming using augmented reality. This approach is primarily aimed at small and medium-sized companies and is intended to provide an open, simple and cost-effective way of meeting the challenges currently faced in industrial production.

selected publications

A Hand-Interaction Model for Augmented Reality Enhanced Human-Robot Collaboration

Sebastian Blankemeyer, David Wendorff, and Annika Raatz

CIRP Annals, 2024

Abs DOI

Flexible and rapidly adaptable automated production processes, e.g. with collaborative lightweight robots, are key aspects for the competitiveness of companies in globalised markets. However, software adaptation of the robot still requires specific programming skills. We have developed a human-centred programming by demonstration approach based on augmented reality to enable operators to intuitively adapt the robot programme. The developed hand-interaction model overcomes the challenge of object tracking during the assembly demonstration phase. This allows quick programme modifications by the operator using the head-mounted augmented reality device. The human-in-the-loop concept ensures a highly reliable and robust programming process.