Guide dog robot

This project focuses on developing a robotic mobility assistance system tailored to the needs of blind and low-vision individuals. Adopting a human-centered approach, the robot's design and functionality are informed by insights gathered from interviews with guide dog users and trainers. This interdisciplinary endeavor integrates key areas such as navigation, perception, planning, quadruped robot control, and human-robot interaction, ensuring a comprehensive solution that prioritizes user experience and practical real-world deployment.

Contributing Researchers

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Donghyun Kim
Assistant Professor, CICS
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Ivan Lee
Assistant Professor, CICS
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Hochul Hwang
Ph.D. Student, Dynamic and Autonomous Robotic Systems Lab
Hwang, Hochul, Ken Suzuki, Nicholas A. Giudice, Joydeep Biswas, Sunghoon Ivan Lee, and Donghyun Kim. "Lessons Learned from Developing a Human-Centered Guide Dog Robot for Mobility Assistance." In 2024 ASSETS Workshop on the Future of Urban Accessibility. 2024.
Hwang, Hochul, Krisha Adhikari, Satya Shodhaka, and Donghyun Kim. "Synthetic data augmentation for robotic mobility aids to support blind and low vision people." In 2024 International Conference on Robot Intelligence Technology and Applications (RiTA). 2024
[Best Paper Finalist] Hwang, Hochul, Sunjae Kwon, Yekyung Kim, and Donghyun Kim. "Is it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing." In 2024 International Conference on Ubiquitous Robots. 2024.
[Best Paper Award] Hwang, Hochul, Hee-Tae Jung, Nicholas A. Giudice, Joydeep Biswas, Sunghoon Ivan Lee, and Donghyun Kim. "Towards Robotic Companions: Understanding Handler-Guide Dog Interactions for Informed Guide Dog Robot Design." In Proceedings of the CHI Conference on Human Factors in Computing Systems, pp. 1-20. 2024.
Hwang, Hochul, Tim Xia, Ibrahima Keita, Ken Suzuki, Joydeep Biswas, Sunghoon I. Lee, and Donghyun Kim. "System configuration and navigation of a guide dog robot: Toward animal guide dog-level guiding work." In 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 9778-9784. IEEE, 2023.