Jeb Stefan
Papers
1
Total Citations
2
H-Index
1
About
Jeb Stefan is a researcher whose work sits at the intersection of robotics, control theory, and decision-making under uncertainty. His primary research areas include motion planning, stochastic systems, and information-aware robotics. Stefan’s major contribution is the development of a novel path length metric for uncertain configuration spaces, which he integrated with the RRT* algorithm to create a "rationally inattentive" path-planning framework. This approach allows mobile robots to navigate obstacles while accounting for stochastic disturbances and limited sensing resources, effectively balancing computational efficiency with robustness. Though his most-cited paper, "Rationally Inattentive Path-Planning via RRT*" (2020, 2 citations), is early in its citation life, it lays a foundational bridge between bounded rationality and autonomous navigation. Stefan’s work is notable for its interdisciplinary ambition, merging insights from economics (rational inattention) with robotics, and it holds promise for applications in autonomous vehicles and field robotics where uncertainty and resource constraints are critical.
Research Focus
Key Achievements
Top Papers
- 1Rationally Inattentive Path-Planning via RRT*2 citations · 2020