Papers
6
Total Citations
54
H-Index
5
About
Paul G. Ploeger is a robotics researcher whose work spans perception, manipulation, and autonomous navigation. His most impactful contribution, "People Detection in 3D Point Clouds Using Local Surface Normals" (2013, 18 citations), advanced human-robot interaction by enabling robots to identify people in complex 3D environments—a critical capability for domestic service robots. This builds on his earlier work in "Facial Expression Recognition for Domestic Service Robots" (2012, 12 citations), which explored how robots can interpret human emotional cues. Ploeger also made foundational contributions to robot self-localization, as demonstrated by his paper "An Omni-Vision Based Self-Localization Method for Soccer Robot" (2004, 9 citations), which introduced a novel triangulation technique using omnidirectional vision for landmark-based positioning—a key enabler for RoboCup competitions. His involvement with the GMD RoboCup Team (1999, 7 citations) reflects his long-standing engagement with competitive robotics. More recently, his work "Low-Cost Sensor Integration for Robust Grasping with Flexible Robotic Fingers" (2019, 3 citations) addresses practical manipulation challenges, showing his continued focus on making robots more capable and affordable for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1People Detection in 3d Point Clouds Using Local Surface Normals18 citations · 2013
- 2Facial Expression Recognition for Domestic Service Robots12 citations · 2012
- 3An omni-vision based self-localization method for soccer robot9 citations · 2004
- 4Team Description of the GMD RoboCup-Team7 citations · 1999
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