RepresentNav: A Navigation Foundation Model on a Self-Constructed Representation
Overview
This paper presents RepresentNav, a navigation foundation model that constructs a self-constructed representation space using a compact three-layer transformer. It learns to see what it needs for navigation and predicts future scene representations through a joint-embedding predictive architecture, achieving state-of-the-art results on multiple benchmarks and physical robot navigation tasks.
From arXiv Robotics — research abstracts
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- arXiv Robotics — research abstractsSignalSee What I Need, Dream What I Want: A Navigation Foundation Model on a Self-Constructed Representation Space
This paper presents RepresentNav, a navigation foundation model that constructs a self-constructed representation space using a compact three-layer transformer. It learns to see what it needs for navigation and predicts future scene representations through a joint-embedding predictive architecture, achieving state-of-the-art results on multiple benchmarks and physical robot navigation tasks.
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