Search Results for author:
Found 4 papers, 0 papers with code
VioLA: Aligning Videos to 2D LiDAR Scans
We study the problem of aligning a video that captures a local portion of an environment to the 2D LiDAR scan of the entire environment.
Enhancing Multi-Agent Coordination through Common Operating Picture Integration
Our results demonstrate the efficacy of COP integration, and show that COP-based training leads to robust policies compared to state-of-the-art Multi-Agent Reinforcement Learning (MARL) methods when faced with out-of-distribution initial states.
HIO-SDF: Hierarchical Incremental Online Signed Distance Fields
HIO-SDF combines the advantages of these representations using a hierarchical approach which employs a coarse voxel grid that captures the observed parts of the environment together with high-resolution local information to train a neural network.
SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
We evaluate SayNav on multi-object navigation (MultiON) task, that requires the agent to utilize a massive amount of human knowledge to efficiently search multiple different objects in an unknown environment.
