Papers
12
Total Citations
236
H-Index
8
About
Stefan Stiene is a leading researcher in robotics and autonomous systems, with a primary focus on human-robot collaboration, 3D perception, and agricultural robotics. His most influential work, "Multimodal sensor-based whole-body control for human–robot collaboration in industrial settings" (2017, 83 citations), has been pivotal in advancing safe and intuitive interaction between humans and industrial robots. Stiene made early, foundational contributions to 3D perception, particularly through his work on "Contour-Based Object Detection in Range Images" (2006, 44 citations), which demonstrated how range data could be used for reliable object recognition independent of lighting conditions. He also developed novel methods for mapping and localization, including the automatic construction of polygonal maps from point cloud data (2010, 21 citations) and real-time 6D robot localization using 3D ToF cameras (2010, 10 citations). His research has consistently bridged theory and application, as evidenced by the iMRK demonstrator (2017, 16 citations) for intuitive industrial collaboration and the LiSA robot assistant (2007, 7 citations) for life science environments. Most recently, Stiene has turned his expertise to precision agriculture, leading the "Cognitive Weeding" project (2023, 5 citations), which develops end-to-end architectures for single-plant-specific weed regulation using drones and robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Contour-Based Object Detection in Range Images44 citations · 2006
- 3Automatic construction of polygonal maps from point cloud data21 citations · 2010
- 4
- 5
- 6Safe Human-Robot Interaction in a Life Science Environment14 citations · 2007
- 7
- 8Virtual range scan for avoiding 3D obstacles using 2D tools10 citations · 2009
- 9LiSA: A Robot Assistant for Life Sciences7 citations · 2007
- 10Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation5 citations · 2023