Lasse Hansen
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
Top Papers
- 1
- 2Autonomous optimization of fine motions for robotic assembly9 citations · 2014
- 37DoF Hand and Arm Tracking for Teleoperation of Anthropomorphic Robots8 citations · 2016