Papers

3

Total Citations

46

H-Index

2

About

Daniel Palm is a leading researcher at the intersection of advanced wireless communications and industrial automation, with key contributions in 5G standalone non-public networks (NPNs) and autonomous mobile robotics for intralogistics. His work addresses critical challenges in Industry 4.0, particularly the need for reliable, low-latency connectivity in dynamic manufacturing environments. Palm’s most cited paper (25 citations) provides the first comprehensive measurement and comparison of data rates and time delays for end-devices in licensed sub-6 GHz 5G standalone NPNs, establishing foundational benchmarks for industrial 5G deployment. His highly influential review on autonomous mobile robots (AMRs) in intralogistics (19 citations) systematically maps the state-of-the-art, identifies critical limitations, and outlines pressing research gaps, serving as a key reference for researchers and practitioners. Palm also developed a decision-support framework (2023) that evaluates the practicality of 5G for specific intralogistics use cases, bridging the gap between theoretical network capabilities and real-world industrial requirements. His work is instrumental in enabling the decentralized, intelligent connectivity that underpins smart factories and flexible production systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
46
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Measurement and comparison of data rate and time delay of end-devices in licensed sub-6 GHz 5G standalone non-public networks
25 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Reutlingen University, Fraunhofer Institute for Manufacturing Engineering and Automation

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago