CAREER: Solving Pathfinding Problems with High-Level Goal Specifications — NSF Award to University of South Carolina at Columbia (
Pathfinding is essential for making effective decisions about how to move through complex spaces, from robots navigating crowded warehouses to synthesizing molecules through sequences of reactions. A significant roadblock to solving these pathfinding problems is that the goal may only be describable at a high level. Fo
| Award title | CAREER: Solving Pathfinding Problems with High-Level Goal Specifications |
|---|---|
| Award ID | 2541764 |
| Awardee | University of South Carolina at Columbia |
| City | COLUMBIA |
| State | SC |
| Amount obligated | $282,156 |
| Principal investigator | Forest Agostinelli |
| Program | Robust Intelligence |
| Start date | 09/01/2026 |
| Abstract | Pathfinding is essential for making effective decisions about how to move through complex spaces, from robots navigating crowded warehouses to synthesizing molecules through sequences of reactions. A significant roadblock to solving these pathfinding problems is that the goal may only be describable at a high level. For example, in chemical synthesis, scientists may know the properties a therapeutic molecule should have, but not know of any molecule that has such properties. This project seeks t |
| Source | NSF Awards |
$799/mo
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