Papers

2

Total Citations

17

H-Index

2

About

Daniel Porta is a leading researcher in the digital transformation of manufacturing, specializing in Industrie 4.0, digital twins, and human-robot collaboration. His work centers on integrating asset administration shells (AAS) to create interactive digital twins that enhance both production planning and worker safety. In his highly cited 2024 paper, Porta demonstrates how AAS enable a unified, safe, and continuous joint planning of intralogistics and manufacturing processes—a critical advance for smart factories. His 2023 study further establishes a service infrastructure for Industrie 4.0 testbeds, showcasing how collaborative robots can simplify production tasks while maintaining safety in changeable environments. With nearly 20 citations across his key publications, Porta’s contributions are foundational to the practical deployment of digital twin technology. His work at the Human-Robot-Collaboration lab exemplifies a commitment to making advanced automation accessible and safe for human workers, positioning him as a pivotal figure in the next generation of intelligent manufacturing systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Interactive Digital Twins for Online Planning and Worker Safety in Intralogistics and Production
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: German Research Centre for Artificial Intelligence

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago