Niels Jul Jacobsen

Maersk (Denmark), Odense City Museums

Papers

5

Total Citations

136

H-Index

3

About

Niels Jul Jacobsen is a pioneering researcher in robotics, with key contributions spanning human-aware navigation, precision agriculture, and industrial welding automation. His most influential work, "Learning Local Planners for Human-aware Navigation in Indoor Environments" (2020, 75 citations), introduced a neural-network-based framework that bridges global and local planning for indoor robots, enabling safer and more adaptive human-robot interaction. This work has become foundational for researchers developing socially compliant navigation systems. Jacobsen also made significant strides in agricultural robotics with his 2012 paper on a low-cost, modular robotics tool carrier for precision agriculture research (30 citations), addressing the need for flexible and affordable platforms to enhance crop production efficiency and sustainability. Earlier in his career, he contributed to complex robotic welding systems, as seen in his 2002 paper (25 citations) on integrating offline programming, redundant robot control, and sensor-based motion planning for shipyard applications, notably at Odense Steel Shipyard Ltd. His work demonstrates a consistent focus on practical, real-world robotics challenges, from shipbuilding to farming to indoor navigation. With over 136 total citations across his top papers, Jacobsen’s research has influenced both academic and industrial robotics communities, particularly in developing adaptive, cost-effective solutions for complex environments.

Research Focus

Key Achievements

3
H-Index
5
Papers
136
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Learning Local Planners for Human-aware Navigation in Indoor Environments
75 citations · 2020
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Maersk (Denmark), Odense City Museums

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago