Henrik Andreasson
Papers
43
Total Citations
1,508
H-Index
19
About
Henrik Andreasson is a prominent robotics researcher whose work spans mobile robot navigation, 3D environment modeling, simultaneous localization and mapping (SLAM), and human-robot interaction. His contributions have significantly advanced how autonomous robots perceive, map, and navigate complex real-world environments. Andreasson is perhaps best known for his pioneering work on 3D Normal Distributions Transform (NDT) scan registration, a fast and accurate method for aligning point cloud data from range sensors that has garnered over 240 citations and become a foundational technique in mobile robotics. His early work on 3D indoor modeling using laser scanners and panoramic cameras (124 citations) helped establish practical frameworks for autonomous mapping in office environments. His vision-based localization approaches using panoramic imagery, SIFT features, and particle filters further demonstrated his versatility across sensing modalities. Beyond perception and mapping, Andreasson has made notable strides in human-robot interaction, developing innovative spatial augmented reality and projection-based systems that allow industrial robots to communicate their navigational intentions to nearby human workers — research increasingly critical as autonomous vehicles enter shared workspaces. His work on autonomous picking and palletizing has also pushed the boundaries of warehouse robotics. Across more than a decade of research, his cumulative citation impact reflects both the breadth and lasting relevance of his contributions to intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 6The Next Step in Robot Commissioning: Autonomous Picking and Palletizing85 citations · 2016
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- 8Comparative evaluation of range sensor accuracy in indoor environments54 citations · 2011
- 9A Minimalistic Approach to Appearance-Based Visual SLAM45 citations · 2008
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