Flexible manufacturing processes still rely on people to respond to unforeseen situations. The goal of the DEVINE project is to repurpose rigid collaborative robots to support humans in a flexible way. Various sensors (cameras, IMU sensors, etc.) enhance the robots’ environmental perception capabilities. Using machine learning, the progress of the process is recognized with the help of the sensor data. The robot is automatically instructed to help the worker with assembly without receiving an explicit command from the worker. This is particularly advantageous in unpredictable situations when the process deviates from its expected behavior. The robot recognizes this deviation and can provide help accordingly.
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