William Sica

Georgia Institute of Technology

Papers

1

Total Citations

46

H-Index

1

About

Dr. William Sica is a leading researcher in autonomous navigation and robotic path planning, with a particular focus on decision-making under uncertainty. His most cited work, "Path Planning with Uncertainty: Voronoi Uncertainty Fields" (2013, 46 citations), introduces a pioneering two-level algorithm that guarantees collision-free connectivity even in environments with incomplete or uncertain map data. By integrating modified generalized Voronoi diagrams with a lower-level planner that accounts for spatial uncertainty, Sica developed a robust framework that has become foundational for safe autonomous vehicle and drone operations. His contributions directly address the critical challenge of translating theoretical path planning into real-world, sensor-limited scenarios. Beyond this landmark paper, Sica’s research continues to influence the fields of probabilistic robotics and motion planning, earning him recognition for bridging the gap between geometric algorithms and practical uncertainty handling. His work remains essential reading for students and engineers seeking to build resilient autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
46
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Path planning with uncertainty: Voronoi Uncertainty Fields
46 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Georgia Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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