Papers

12

Total Citations

132

H-Index

7

About

Jochen Schmidt is a robotics and computer vision researcher whose work spans two interconnected domains: surgical robotics and autonomous mobile robot navigation. His most influential contribution, a 2003 paper on hand–eye calibration for endoscopic surgery robots using dual quaternions, garnered 40 citations and established robust mathematical frameworks for precisely aligning robotic vision systems in minimally invasive surgical settings. Complementing this, his 2004 work on light fields for endoscope positioning robots advanced real-time 3D visualization of surgical sites, further bridging robotics and medical imaging. Equally significant is Schmidt's sustained research into cognitive mapping for mobile robots, explored across multiple publications from 2006 to 2007. These works investigated how robots equipped with sonar sensors and odometers can build metric-topological maps of indoor environments, drawing inspiration from biological navigation theories. His split-and-merge approach to metric-topological map-building offered a novel method for structuring spatial knowledge without requiring full SLAM solutions. He also contributed to human-robot interaction through the MOBSY project, integrating vision and dialogue in service robots. Collectively, his body of work reflects a productive career at the intersection of surgical robotics, autonomous navigation, and cognitive-inspired robot architectures.

Research Focus

Key Achievements

7
H-Index
12
Papers
132
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Robust Hand–Eye Calibration of an Endoscopic Surgery Robot Using Dual Quaternions
40 citations · 2003
📈 Most Prolific Year: 2006 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Auckland University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago