Papers

7

Total Citations

146

H-Index

6

About

Michael Brunner’s research focuses on autonomous mobile robotics, particularly the motion planning and control of reconfigurable robots operating in unstructured, hazardous environments. His major contributions lie in developing algorithms that enable tracked robots with adjustable chassis to autonomously traverse rough terrain—such as rubble, boulders, stairs, and steps—while maintaining stability and safety. Brunner pioneered a hierarchical, sampling-based motion planning approach that optimizes robot-terrain interaction, addressing the highly nonlinear challenges of outdoor disaster zones and urban obstacles. His work on iterative contact point estimation for static stability assessment has been critical for ensuring robot safety during complex maneuvers. With over 146 total citations across his most-cited papers, his 2013 study on hierarchical rough terrain motion planning (67 citations) stands as a foundational reference in the field. Brunner’s research directly supports search and rescue missions, enabling robots to explore areas too dangerous for humans. His notable achievements include developing metrics for path planning on rough terrain and advancing coordinated navigation for multi-robot systems, making him a key figure in the evolution of resilient, autonomous ground vehicles for emergency response.

Research Focus

Key Achievements

6
H-Index
7
Papers
146
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Hierarchical rough terrain motion planning using an optimal sampling-based method
67 citations · 2013
📈 Most Prolific Year: 2012 (4 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Fraunhofer Institute for Communication, Information Processing and Ergonomics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago