Robots are used in manufacturing to execute mainly these types of operations: material handling (pick up and place, movements), processing operations (tool manipulation, welding), assembly and inspection. Current challenges for robotics in manufacturing are related to efficiency, human-robot collaboration, and cognitive operations.
The E2 topic looks for CPS/IOT data-driven experiments for sensor data collection, data analytics, and machine learning for the implementation of factory automation technologies supported by robotics which must use MIDIH reference architectures and reference implementations and the MIDIH Data Infrastructures.
Candidates are required to provide experiments based on the MIDIH architecture and to provide the correspondent datasets to be experimented in MIDIH HPC/Clouds.
In alignment with Horse, the I4MS project which proposes a flexible model of smart factory involving collaboration of humans, robots, AGV’s (Autonomous Guided Vehicles) and machinery in the manufacturing environment, experiments results will be shared publicly in dissemination events and through the I4MS tools.
Illustration Photo: HIRO robot, Humanoid robot for automotive assembly tasks in collaboration with people and and LWR robot, using haptic teleoperation with force feedback. Safety in human-robot cooperation. (credits: Tecnalia / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))