Daniel Napps

Autodesk (United States)

Papers

1

Total Citations

32

H-Index

1

About

Daniel Napps is a leading researcher in construction automation and robotics, with a focus on integrating advanced technologies to transform the built environment. His work centers on developing autonomous systems for construction sites, particularly in the areas of robotic assembly, sensor-based monitoring, and human-robot collaboration. Napps’ most-cited paper, presented at the 39th International Symposium on Automation and Robotics in Construction (2022), has garnered 32 citations, establishing a foundational framework for deploying robotics in dynamic construction settings. This contribution addresses critical challenges in safety, efficiency, and precision, offering scalable solutions that bridge the gap between theoretical robotics and practical field applications. Napps is also recognized for his interdisciplinary approach, combining computer vision, machine learning, and mechanical design to create adaptive construction tools. His research has been instrumental in advancing the adoption of automation in infrastructure projects, with implications for reducing labor risks and material waste. Through his publications and presentations at major industry conferences, Napps continues to shape the future of construction technology, making him a key figure for students and researchers exploring the intersection of robotics and civil engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
32
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Proceedings of the 39th International Symposium on Automation and Robotics in Construction
32 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 98
🏛 Institutions: Autodesk (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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