Blaine Levedahl
Papers
2
Total Citations
9
H-Index
2
About
Blaine Levedahl’s research focuses on advancing autonomous mobile robot navigation, with a particular emphasis on safety-aware path planning and state-space representation. His major contribution lies in developing variable-resolution roadmap methods that integrate not only position but also velocity or orientation information—a significant departure from conventional roadmaps. In his 2012 paper on mobile robots (7 citations), Levedahl introduced a roadmap that incorporates velocity constraints, enabling safer and more efficient trajectory generation in continuous environments. His follow-up work on car-like robots (2 citations) extended this concept by including orientation information, allowing for more realistic and collision-free navigation for non-holonomic vehicles. Though his citation counts are modest, these contributions are notable for their innovative approach to merging safety constraints with state-space partitioning, offering a practical framework for real-world robotic systems. Levedahl’s work is particularly valuable for researchers in autonomous navigation, as it addresses the critical gap between theoretical path planning and the dynamic, safety-critical demands of mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 2