Matthew Berg — accepted AI-conference papers

2022

Using Language to Generate State Abstractions for Long-Range Planning in Outdoor Environments

Matthew Berg, George Konidaris, Stefanie Tellex

ICRA 2022poster

Robots that process navigation instructions in large outdoor environments will need to operate at different levels of abstraction. For example, a land-surveying aerial robot receiving the instruction “go to Boston and go through the state forest on the way” must reason about a long-range goal like “…

Cited by 5 Source ↗Scholar ↗

2020

Grounding Language to Landmarks in Arbitrary Outdoor Environments

Matthew Berg, Deniz Bayazit, Rebecca Mathew, Ariel Rotter-Aboyoun, Ellie Pavlick, Stefanie Tellex

ICRA 2020poster

Robots operating in outdoor, urban environments need the ability to follow complex natural language commands which refer to never-before-seen landmarks. Existing approaches to this problem are limited because they require training a language model for the landmarks of a particular environment before…

Cited by 29 Source ↗Scholar ↗