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
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
Material characterization of 3D printed elastomers
Benefit: More realistic material models for additively manufactured elastomers for FE simulations of soft robot gripping processes
Control of pneumatic actuators
Benefit: Increased precision, speed and service life
Development, design and manufacture of soft 3D printed grippers for industrial robots
Benefit: Grippers with reduced weight and higher precision and greater variation with integrated sensors for handling sensitive parts
Combination of parts with varying hardness to create soft robots
Benefit:: Innovative, 3D printed collaborative robots for handling tasks involving immediate human contact
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
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
Material characterization of 3D printed elastomers
Benefit: More realistic material models for additively manufactured elastomers for FE simulations of soft robot gripping processes
Control of pneumatic actuators
Benefit: Increased precision, speed and service life
Development, design and manufacture of soft 3D printed grippers for industrial robots
Benefit: Grippers with reduced weight and higher precision and greater variation with integrated sensors for handling sensitive parts
Combination of parts with varying hardness to create soft robots
Benefit:: Innovative, 3D printed collaborative robots for handling tasks involving immediate human contact