Lasse Hansen

Aalborg University

Papers

3

Total Citations

27

H-Index

3

About

Lasse Hansen is a leading researcher in robotic assembly and human-robot interaction, with a focus on developing intelligent systems for flexible manufacturing. His work centers on automating error recovery and optimizing fine motions in robotic assembly, addressing critical challenges in industrial automation. Hansen’s most cited paper, "A Novel Strategy for Automatic Error Classification and Error Recovery for Robotic Assembly in Flexible Production" (2020, 10 citations), introduces a groundbreaking approach that reduces complex error states to just four categories without requiring error diagnosis, significantly enhancing production efficiency. His earlier work, "Autonomous optimization of fine motions for robotic assembly" (2014, 9 citations), pioneered methods for adapting robotic movements to varying geometries, reducing reliance on rigid fixtures. Additionally, his research on "7DoF Hand and Arm Tracking for Teleoperation of Anthropomorphic Robots" (2016, 8 citations) advances intuitive control of robotic systems, bridging human dexterity with machine precision. With a cumulative impact of over 27 citations across his key publications, Hansen’s contributions are shaping the future of adaptive, error-tolerant robotics, making him a notable figure in the field of industrial automation and teleoperation.

Research Focus

Key Achievements

3
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Strategy for Automatic Error Classification and Error Recovery for Robotic Assembly in Flexible Production
10 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Aalborg University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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