Elvin Yang — accepted AI-conference papers

2024

Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning

Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone

ICRA 2024poster

Autonomous mobility tasks such as last-mile delivery require reasoning about operator-indicated preferences over terrains on which the robot should navigate to ensure both robot safety and mission success. However, coping with out of distribution data from novel terrains or appearance changes due to…

Cited by 7 Source ↗Scholar ↗

2023

STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience

Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone

CoRL 2023poster

Terrain awareness, i.e., the ability to identify and distinguish different types of terrain, is a critical ability that robots must have to succeed at autonomous off-road navigation. Current approaches that provide robots with this awareness either rely on labeled data which is expensive to collect,…

Cited by 23 Source ↗Scholar ↗