6 papers
FeudalNav: A Simple Framework for Visual Navigation
Faith Johnson, Bryan Bo Cao, Shubham Jain +2
Visual navigation for robotics is inspired by the human ability to navigate environments using visual cues and memory, eliminating the need for detailed maps. In unseen, unmapped,…
YOPO-Nav: Visual Navigation using 3DGS Graphs from One-Pass Videos
Ryan Meegan, Adam D'Souza, Bryan Bo Cao +2
Visual navigation has emerged as a practical alternative to traditional robotic navigation pipelines that rely on detailed mapping and path planning. However, constructing and main…
Memory Proxy Maps for Visual Navigation
Faith Johnson, Bryan Bo Cao, Ashwin Ashok +2
Visual navigation takes inspiration from humans, who navigate in previously unseen environments using vision without detailed environment maps. Inspired by this, we introduce a nov…
A Landmark-Aware Visual Navigation Dataset
Faith Johnson, Bryan Bo Cao, Kristin Dana +2
Map representations learned by expert demonstrations have shown promising research value. However, the field of visual navigation still faces challenges due to the lack of real-wor…
Feudal Networks for Visual Navigation
Faith Johnson, Bryan Bo Cao, Ashwin Ashok +2
Visual navigation follows the intuition that humans can navigate without detailed maps. A common approach is interactive exploration while building a topological graph with images…
Hierarchical Reinforcement Learning for Temporal Pattern Prediction
Faith Johnson, Kristin Dana
In this work, we explore the use of hierarchical reinforcement learning (HRL) for the task of temporal sequence prediction. Using a combination of deep learning and HRL, we develop…