Focus of Research

Sensoric acquisition, modeling and simulation of manual assembly processes

• Robust and precise capture of human motion in difficult production environments using
  · Inertial sensor suits (Xsens MVN Link and Awinda)
  · Data gloves (Manus Prime II Xsens)
  · Eye trackers (Pupil Invisible)
  Benefit: Automation of motion capture of workers in production plants

• Real-time integration of motion capture in 3D environments with 3D process and resource data and physics simulation (Unity3D)
  Benefit: More efficient simulation environments for captured motion in a production context

• Automatic delimitation of single motions and assignment of motions to work schedules
  Benefit: Reduction in manual analyses which are currently too time-consuming

• Generation of AI-based motion models for the simulation of manual assembly processes for reliable planning
  Benefit: Faster, more realistic and higher quality planning of manual processes in serial assembly while taking into account workers’ motions

Collaborative Robot Systems

• Linking of human and robot motion models
  Benefit: Increased safety in human-robot collaboration due to motion forecasts for humans

• Co-simulation of PLC, robot control system and human (Unity 3D, ROS)
  Benefit: Virtual commissioning requiring less work and no costly special software

• Innovative collaboration concepts
  Benefit: More effective ways of human-robot collaboration with a high level of acceptance

Resilient, reconfigurable production systems

• Resilience measurement
  Benefit: Automatisierte Erkennung ungünstigen dynamischen Materialflussverhaltens

• Inter-scale effects of reconfigurations in supply chains and shop floors
  Benefit: Research on indirect Consequences

• Automated planning with AI
  Benefit: Increases planning quality and efficiency