Search Results for author:
Found 3 papers, 0 papers with code
Vision and Language Navigation in the Real World via Online Visual Language Mapping
Directly transferring SOTA navigation policies trained in simulation to the real world is challenging due to the visual domain gap and the absence of prior knowledge about unseen environments.
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
In this work, we propose an approach that leverages a rough 2-D map of the environment to navigate in novel environments without requiring further learning.
Deep Supervised Summarization: Algorithm and Application to Learning Instructions
We develop a supervised subset selection framework, based on the facility location utility function, which learns to map datasets to their ground-truth representatives.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
