Office
LGRC, A307
Email
@email
Hochul Hwang
Ph.D. Student, Dynamic and Autonomous Robotic Systems Lab
Graduate Student
About Me
Hochul Hwang specializes in Visual Navigation and Human-Robot Interaction, with a research goal of building robots that enhance human mobility. His work centers on developing robust navigation action models by learning generalizable representations from real-world human demonstrations, enabling safe and efficient guidance for human users.
Recent Publications
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
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.
[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.
[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.
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.
Contact Information
Office
LGRC, A307
Email
@email