Johan Rutgeerts
Papers
8
Total Citations
384
H-Index
5
About
Johan Rutgeerts is a leading researcher in sensor-based robot systems, with a focus on constraint-based task specification, compliant-motion tasks, and programming by human demonstration. His most influential work, "Constraint-based Task Specification and Estimation for Sensor-Based Robot Systems in the Presence of Geometric Uncertainty" (2007), has garnered 263 citations, introducing a unified framework that integrates task specification with geometric uncertainty estimation for complex robotic systems. This approach allows robots to handle real-world variability by combining sensor data—such as force and vision—into a single control scheme. Rutgeerts also advanced programming by human demonstration, notably in "Contact-State Segmentation Using Particle Filters" (2007, 72 citations), where he developed methods to segment contact states and learn geometric parameters from human-guided motions, enhancing robot adaptability in assembly and manufacturing tasks. His work on unified constraint-based formalisms (2006, 18 citations) further solidified his contributions to sensor fusion and control. Through these achievements, Rutgeerts has significantly impacted the field of robotics, enabling more robust, intuitive, and efficient human-robot collaboration in environments with geometric uncertainties.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Particle Filters for Hybrid Event Sensor Fusion with 3D Vision and Force5 citations · 2006
- 7
- 8