Papers
8
Total Citations
190
H-Index
8
About
Jonathan Butzke is a leading researcher in autonomous mobile robotics, whose work bridges the critical gap between high-level planning and real-world execution. His primary research areas include path planning under kinodynamic constraints, multi-robot exploration, and heterogeneous robotic systems. Butzke’s most influential contribution is his pioneering work on combining global and local planning with guarantees on completeness (39 citations), which provides a rigorous framework for robots to navigate cluttered environments while satisfying complex motion constraints. He further advanced the field with his adaptive dimensionality approach (37 citations), a computationally efficient method that dramatically speeds up path planning for high-dimensional systems like robotic arms. Butzke has also made significant contributions to multi-robot systems, developing novel utility functions for cooperative exploration (22 citations) and leading the University of Pennsylvania’s MAGIC 2010 multi-robot team (23 citations), which demonstrated coordinated ground and aerial vehicles in a competitive setting. His work on air-ground robotic systems for 3D exploration (24 citations) and collaborative localization between heterogeneous robots (12 citations) has been instrumental in enabling robust, GPS-denied navigation for search and rescue. With over 190 total citations, Butzke’s research continues to shape how robots plan and cooperate in complex, unknown environments.
Research Focus
Key Achievements
Top Papers
- 1Combining global and local planning with guarantees on completeness39 citations · 2012
- 2Path Planning with Adaptive Dimensionality37 citations · 2021
- 33-D exploration with an air-ground robotic system24 citations · 2015
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- 8Planning for a ground-air robotic system with collaborative localization12 citations · 2016