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CityWalker · ai4ce

CityWalker research code for learning embodied urban navigation from videos.

embodied-aiembodied-navigationimitation-learningoutdoor-navigationpoint-goal-navigation
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CityWalker · ai4ce resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

CityWalker research code for learning embodied urban navigation from videos.

Publisher summary: “[CVPR2025] CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
ai4ce
Primary language
Python
Repository code license
Apache-2.0
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2025-09-19

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • [CVPR 2025] CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos
  • TL;DR: CityWalker leverages thousands of hours of online city walking and driving videos to train autonomous agents for robust, generalizable navigation in dynamic urban environments through scalable, data-driven imitation learning.
  • Getting Started
  • Installation
  • Data Preparation
  • Training

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