DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding

Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang +5 more
7/13/2023
cs.ROcs.AIcs.CL

Official code: Shuijing725/Dragon_Wayfinding (20 stars, last commit 2024-04-17).

Abstract

Persons with visual impairments (PwVI) have difficulties understanding and navigating spaces around them. Current wayfinding technologies either focus solely on navigation or provide limited communication about the environment. Motivated by recent advances in visual-language grounding and semantic navigation, we propose DRAGON, a guiding robot powered by a dialogue system and the ability to associate the environment with natural language. By understanding the commands from the user, DRAGON is able to guide the user to the desired landmarks on the map, describe the environment, and answer questions from visual observations. Through effective utilization of dialogue, the robot can ground the user's free-form descriptions to landmarks in the environment, and give the user semantic information through spoken language. We conduct a user study with blindfolded participants in an everyday indoor environment. Our results demonstrate that DRAGON is able to communicate with the user smoothly, provide a good guiding experience, and connect users with their surrounding environment in an intuitive manner. Videos and code are available at https://sites.google.com/view/dragon-wayfinding/home.

View on arXivView PDF

Code Implementations(1)

Shuijing725/Dragon_WayfindingOfficial100%

[RA-L] DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding

202C++, CudaApr 16, 20242 years ago
assistive-roboticsconversational-agentshuman-robot-interactionlanguage-understandingrobot-navigation+3 more

Similar Papers

Guide-LLM: An Embodied LLM Agent and Text-Based Topological Map for Robotic Guidance of People with Visual Impairments

84% match2024

GenComUI: Exploring Generative Visual Aids as Medium to Support Task-Oriented Human-Robot Communication

83% match2025

LLM Granularity for On-the-Fly Robot Control

82% match2024

LANA: A Language-Capable Navigator for Instruction Following and Generation

81% match1 repo962026

Human-like Navigation in a World Built for Humans

81% match1 repo422025

Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities

81% match2025

Cite this paper

@article{liu2023dragon,
  title  = {DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding},
  author = {Shuijing Liu and Aamir Hasan and Kaiwen Hong and Runxuan Wang and Peixin Chang and Zachary Mizrachi and Justin Lin and D. Livingston McPherson and Wendy A. Rogers and Katherine Driggs-Campbell},
  year   = {2023},
  eprint = {2307.06924},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.06924v3}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2307.06924.svg)](https://codeofpaper.com/paper/2307.06924)

Discussion