The Overall Labour Effectiveness to Improve Competitiveness and Productivity in Human-Centered Manufacturing

Bonci, Andrea; Stadnicka, Dorota; Longhi, Sauro

doi:10.1007/978-3-030-99310-8_12

Cited by 5 publications

(1 citation statement)

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“…While humans are flexible and adaptable by nature and thus able to react to both small disturbances and large changes, the same does not apply to robots or traditional automation systems. The flexibility of production processes can be increased by using a combination of a flexible human worker, preferably with assessable performance [7], and collaborative robots (cobots) [8]. Although robots have gradually replaced humans in performing simple repetitive tasks in dangerous environments [9], cobots and robot automation are usually limited to monotonous and structured tasks (i.e., pick and place, grasping, moving workpieces, welding, and painting), while robots employed in assembly processes require dexterous human assistance, and for complex assembly tasks, workers still rely on manual operations.…”

Section: Introductionmentioning

confidence: 99%

Robot Operating System 2 (ROS2)-Based Frameworks for Increasing Robot Autonomy: A Survey

Bonci,

Gaudeni,

Giannini

et al. 2023

Applied Sciences

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Future challenges in manufacturing will require automation systems with robots that are increasingly autonomous, flexible, and hopefully equipped with learning capabilities. The flexibility of production processes can be increased by using a combination of a flexible human worker and intelligent automation systems. The adoption of middleware software such as ROS2, the second generation of the Robot Operating System, can enable robots, automation systems, and humans to work together on tasks that require greater autonomy and flexibility. This paper has a twofold objective. Firstly, it provides an extensive review of existing literature on the features and tools currently provided by ROS2 and its main fields of application, in order to highlight the enabling aspects for the implementation of modular architectures to increase autonomy in industrial operations. Secondly, it shows how this is currently potentially feasible in ROS2 by proposing a possible high-level and modular architecture to increase autonomy in industrial operations. A proof of concept is also provided, where the ROS2-based framework is used to enable a cobot equipped with an external depth camera to perform a flexible pick-and-place task.

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Section: Introductionmentioning

confidence: 99%