Papers
14
Total Citations
507
H-Index
9
About
Klaus H. Strobl is a leading researcher in robot vision, sensor calibration, and autonomous perception, with a career spanning foundational calibration theory to cutting-edge surgical navigation. His most influential work, "Optimal Hand-Eye Calibration" (2006, 299 citations), introduced a stochastic-model-based method for estimating hand-eye and robot-world transformations, setting a new standard for precision in robotic manipulation. Strobl has also pioneered multi-purpose vision platforms, as seen in "The 3D-Modeller" (2007), and advanced the use of plenoptic cameras for close-range on-orbit servicing maneuvers (2017), demonstrating the versatility of his contributions. His research extends to humanoid robotics, where he developed biologically inspired gaze control strategies for vision-guided biped walking (2003), and to real-time localization techniques for mobile robotics (2009). Notably, Strobl’s recent work on ORB-SLAM3-based surgical navigation in ureteroscopy (2022) and the probabilistic robot kinematics model for sensor fusion (2022) highlights his ongoing impact in medical robotics and kinematic modeling. With over 500 total citations across his top papers, Strobl’s work bridges theoretical rigor and practical application, making him a key figure in advancing robot perception and calibration.
Research Focus
Key Achievements
Top Papers
- 1Optimal Hand-Eye Calibration299 citations · 2006
- 2The 3D-Modeller: A Multi-Purpose Vision Platform44 citations · 2007
- 3Stepwise calibration of focused plenoptic cameras40 citations · 2016
- 4Information management for gaze control in vision guided biped walking25 citations · 2003
- 5
- 6Efficient camera-based pose estimation for real-time applications18 citations · 2009
- 7
- 8An ORB-SLAM3-based Approach for Surgical Navigation in Ureteroscopy13 citations · 2022
- 9On the issue of camera calibration with narrow angular field of view10 citations · 2009
- 10