Thilo Grundmann
Papers
5
Total Citations
83
H-Index
5
About
Thilo Grundmann’s research focuses on enabling mobile service robots to perceive and interact with unstructured, human-centered environments. His core contributions lie in 6D object localization, obstacle detection, and collision-free manipulation—critical capabilities for robots operating outside controlled labs. Grundmann’s most cited work (2009, 36 citations) introduces a system that integrates object recognition and obstacle avoidance, allowing a robot to safely grasp and manipulate items in cluttered, real-world settings. He further advanced the field by modeling 6D pose uncertainty (2009, 16 citations), addressing the inevitable inaccuracies from sensors and models that plague practical robotics. His Gaussian measurement model for pose estimation (2011, 7 citations) provides a probabilistic framework to improve robustness under uncertainty. Collectively, his papers have accumulated over 80 citations, reflecting their influence on service robotics and perception. Grundmann’s work is foundational for researchers tackling the challenge of making robots truly useful in everyday life—from homes to hospitals—by bridging the gap between theoretical perception and reliable, real-world operation.
Research Focus
Key Achievements
Top Papers
- 16D object localization and obstacle detection for collision-free manipulation with a mobile service robot36 citations · 2009
- 2
- 36D Pose Uncertainty in Robotic Perception16 citations · 2009
- 4
- 5Scene Analysis for Service Robots6 citations · 2012