Papers

6

Total Citations

116

H-Index

4

About

Johannes Gaa is a robotics researcher whose work bridges human-robot interaction, manipulation, and medical applications. His key research areas include human-aware robot navigation, force sensing for mobile manipulators, and electromagnetic tracking for image-guided surgery. Gaa’s most impactful contribution is his work on socially compliant robot navigation, where he introduced a time-dependent planning approach using a layered social cost map. This method, detailed in his 2015 paper (89 citations), enables robots to navigate safely and comfortably around humans by dynamically adjusting paths based on social norms and human proximity—a critical step toward integrating robots into everyday environments. He also advanced low-cost force sensing for robotic grasping (9 citations), making tactile feedback more accessible for mobile robotics. In the medical domain, Gaa developed a fully automatic system for evaluating electromagnetic trackers (6 citations), addressing distortion challenges in surgical guidance. Notably, his team won the RoboCup@Work League in 2012, demonstrating practical excellence in industrial robotics. With a portfolio spanning navigation, manipulation, and medical robotics, Gaa’s work continues to shape how robots interact with humans and operate in complex, real-world settings.

Research Focus

Key Achievements

4
H-Index
6
Papers
116
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Time dependent planning on a layered social cost map for human-aware robot navigation
89 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Leibniz University Hannover, German Cancer Research Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago