Industry 5.0 wants to place the human being at the centre of the industrial context, structuring technology in such a way that the operators become an integral part of the production cycle. In addition to productivity, the systems must dynamically adapt to the human’s needs, considering the well-being of the operators. Following these aims a human-machine application was developed with an educational purpose. This involves a collaborative robot interaction with an operator through the reading and interpretation of kinematic signals from inertial sensors. The activity was designed to provide students, particularly those with a mechanical background, with both an introduction to collaborative robotics and a straightforward understanding and visualization of the theoretical concepts, along with practical aspects such as ROS programming, and hardware implementation of microcontrollers and sensors. Through a hands-on approach, students will have firsthand interaction with the test bench, putting previously learned theoretical concepts into practice, following the principle of learn-by-doing.
A Hands-On Platform for Learning Human-Robot Collaboration Using Gesture-Controlled Robotics / Crivellari, Francesco; Cornagliotto, Valerio; Polito, Michele; Pastorelli, Stefano. - 180:(2025), pp. 199-207. ( 3rd International Workshop IFToMM for Sustainable Development Goals, I4SDG 2025 Lamezia Terme (ITA) June 9–11, 2025) [10.1007/978-3-031-91179-8_21].
A Hands-On Platform for Learning Human-Robot Collaboration Using Gesture-Controlled Robotics
Crivellari, Francesco;Cornagliotto, Valerio;Polito, Michele;Pastorelli, Stefano
2025
Abstract
Industry 5.0 wants to place the human being at the centre of the industrial context, structuring technology in such a way that the operators become an integral part of the production cycle. In addition to productivity, the systems must dynamically adapt to the human’s needs, considering the well-being of the operators. Following these aims a human-machine application was developed with an educational purpose. This involves a collaborative robot interaction with an operator through the reading and interpretation of kinematic signals from inertial sensors. The activity was designed to provide students, particularly those with a mechanical background, with both an introduction to collaborative robotics and a straightforward understanding and visualization of the theoretical concepts, along with practical aspects such as ROS programming, and hardware implementation of microcontrollers and sensors. Through a hands-on approach, students will have firsthand interaction with the test bench, putting previously learned theoretical concepts into practice, following the principle of learn-by-doing.| File | Dimensione | Formato | |
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A_Hands_On_Platform_for_Learning_Human_Robot_Collaboration_Using_Gesture_Controlled_Robotics.pdf
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https://hdl.handle.net/11583/3007068
