Papers

8

Total Citations

169

H-Index

6

About

Michael Karg is a leading researcher in robotics, with a primary focus on human-robot interaction (HRI) and simulation environments. His most significant contribution is the development of the Modular OpenRobots Simulation Engine (MORSE), a full-fledged simulation platform for academic robotics that has become a cornerstone for the field. His highly cited work, "Simulating Complex Robotic Scenarios with MORSE" (64 citations), and subsequent publications on HRI within MORSE have provided researchers with powerful tools to study and test complex robotic behaviors. Beyond simulation, Karg has made notable advances in human-aware navigation, particularly in measuring legibility to increase perceived value between humans and robots (17 citations). He has also contributed to simultaneous localization and mapping (SLAM) with innovative approaches for consistent mapping of multistory buildings (16 citations). His research on transferable, spatio-temporal plan representations for HRI (13 citations) and expectation-based failure recognition further demonstrates his commitment to creating more intuitive and reliable robotic assistants. Through his work on MORSE and HRI, Karg has fundamentally shaped how researchers approach robotic simulation and human-robot collaboration.

Research Focus

Key Achievements

6
H-Index
8
Papers
169
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Simulating Complex Robotic Scenarios with MORSE
64 citations · 2012
📈 Most Prolific Year: 2012 (4 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Technical University of Munich, Universität Ulm, Institute for Advanced Study

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago