Dynamic and ergonomic adaptation of robot motion for human-robot collaboration via machine learning and motion analysis

ZIM, 2018 – 2020

Collaboration between industrial robots and human workers is a key component for efficient high-mix, low-volume production. In ErgoBot, we leverage the flexibility of industrial robots to improve the ergonomics of repetitive tasks while simultaneously optimizing economic productivity.

The project results comprise

  • A novel approach for generating precomputed reachability maps, which allow for very fast real-time reachability queries. Given a Human Robot Collaboration Model (HRCM) containing a probabilistic representation of human activity, this allows for extremely fast pre-planning and online replanning of robot trajectories
  • A reactive programming concept which permits the online adaptation of robot programs via REST interfaces
  • An optimization algorithm for the multicriterial optimization of robot program parameters with respect to worker ergonomics and economic KPIs

Visit the project website for a list of publications and further information.