Patricio Simari
Papers
2
Total Citations
23
H-Index
2
About
Patricio Simari is a leading researcher in robotics and motion planning, with a focus on enabling autonomous systems to navigate safely and efficiently in complex, unstructured environments. His work bridges geometry processing and robotics, introducing innovative representations that simplify the challenges of pathfinding under differential constraints. Simari’s most influential contributions include the development of clearance-driven motion planning, which integrates the geometric concept of distance to obstacles into sampling-based algorithms, allowing robots to maintain safe trajectories even in cluttered spaces. This approach, detailed in his 2018 paper (14 citations), has been pivotal for mobile robots requiring both precision and safety. He also pioneered the concept of Direct Path Superfacets (2016, 9 citations), a novel oversegmentation method that decomposes free space into connected regions, serving as an intermediate representation to streamline navigation in unstructured settings. With a citation count reflecting the growing adoption of his techniques, Simari’s work stands out for its practical impact on real-world robotics, from autonomous vehicles to exploration drones. His achievements underscore a career dedicated to advancing the theoretical and computational tools that make intelligent motion possible.
Research Focus
Key Achievements
Top Papers
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- 2