Human-Robot Collaborative Assembly in Smart Manufacturing Environments: Safety Performance, Cycle Time Optimisation, and Ergonomic Assessment Across Three Cobot Platforms

Authors

  • Luca A. Ferretti Department of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, 20156 Milan, Italy Author
  • Elena V. Novikova Institute of Industrial Engineering, Technical University of Munich, 85748 Garching, Germany Author

Keywords:

Human-Robot Collaboration, Collaborative Robots, ISO/TS 15066, Assembly Automation, Cycle Time, Ergonomics, Safety Performance, Industry 4.0

Abstract

The integration of collaborative robots (cobots) into human- occupied assembly workstations represents one of the most significant developments in contemporary manufacturing automation. This study presents a controlled experimental investigation of human- robot collaborative (HRC) assembly performance across three commercially deployed cobot platforms: Universal Robots UR10e, KUKA LBR iiwa 14, and FANUC CR- 35iA, evaluated against manual assembly baselines across six representative automotive sub- assembly tasks. A total of 2,700 assembly trials were conducted under standardised conditions replicating production line constraints, with ISO/TS 15066:2016 safety zone monitoring throughout. Results indicate that HRC configurations reduced mean cycle times by 18.3 to 24.7% relative to manual benchmarks. All three cobot platforms achieved ISO/TS 15066 force- speed compliance in 98.7 to 99.6% of measured interactions. Ergonomic assessment using RULA (Rapid Upper Limb Assessment) revealed a 41.2% reduction in ergonomic risk scores for the most physically demanding tasks. Economic analysis projects an annual quality cost saving of USD 312,000 per production line with a payback period of 14.8 months at full deployment scale.

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Published

26-09-2024

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Articles

How to Cite

Human-Robot Collaborative Assembly in Smart Manufacturing Environments: Safety Performance, Cycle Time Optimisation, and Ergonomic Assessment Across Three Cobot Platforms. (2024). International Journal of Advance Industrial Engineering, 100-102. https://ijaie.evegenis.org/index.php/ijaie/article/view/1182