Erick Fuentes — accepted AI-conference papers

2026

Far-Field Image-Based Traversability Mapping for a Priori Unknown Natural Environments

Ethan Fahnestock, Erick Fuentes, Samuel Prentice, Vasileios Vasilopoulos, Philip Osteen, Thomas Howard +1

ICRA 2026poster

While navigating unknown environments, robots rely primarily on proximate features for guidance in decision making, such as depth information from lidar or stereo to build a costmap, or local semantic information from images. The limited range over which these features can be used may result in poor…

Cited by 0 Source ↗Scholar ↗

2025

Belief Roadmaps with Uncertain Landmark Evanescence

Erick Fuentes, Jared Strader, Ethan Fahnestock, Nicholas Roy

ICRA 2025

We would like a robot to navigate to a goal location while minimizing state uncertainty. To aid the robot in this endeavor, maps provide a prior belief over the location of objects and regions of interest. To localize itself within the map, a robot identifies mapped landmarks using its sensors. Howe

Cited by 0 Source ↗Scholar ↗

2025

Far-Field Image-Based Traversability Mapping for a Priori Unknown Natural Environments

Ethan Fahnestock, Erick Fuentes, Samuel Prentice, Vasileios Vasilopoulos, Philip R. Osteen, Thomas M. Howard +1

RA-L 2025

While navigating unknown environments, robots rely primarily on proximate features for guidance in decision making, such as depth information from lidar to build a costmap, or local semantic information from images. The limited range over which these features can be used may result in poor robot beh

Cited by 2 Source ↗code ↗Scholar ↗