Human-Robot Collaboration in Manufacturing: Engineering and Management Perspectives
DOI:
https://doi.org/10.48047/3s9e3894Keywords:
Human-Robot Collaboration, Reinforcement Learning, Digital Twin, Task Allocation, Industry 5.0Abstract
Human-Robot Collaboration (HRC) is the revolution of modern manufacturing through artificial intelligence,
robotics and digital technologies for increased productivity, safety and efficiency. This research tackles HRC from an
engineering and a management point of view, in terms of safety protocols, integration of digital twin, augmented reality (AR),
and collaborative robotic systems. Four key algorithms were analyzed in terms of their ability to optimize robotic performance:
Reinforcement Learning, Deep Learning based Vision Systems, Motion Planning, and Task Allocation Models. Results from
experiments showed that reinforcement learning can improve the decision making efficiency by 22%, and that deep learning
vision systems can improve the accuracy of object recognition to 94.5%
Downloads
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
