Shuijing Liu (刘水竞)
Welcome to my personal website! I’m a postdoc at UT Austin, advised by Yuke Zhu, Peter Stone, and Joydeep Biswas. In 2024, I obtained my PhD from University of Illinois at Urbana Champaign, advised by Katherine Driggs-Campbell.
Previously, I earned my Bachelor’s Degree from University of Illinois at Urbana Champaign in May 2018. Before that, I was born and raised in Zhengzhou, China.
[CV] [Research statement] [Teaching statement] [Service/DEI statement]
I’m on academic job market for 2025-26 cycle. If you are aware of any opportunities, please contact me at shuijing.liu@utexas.edu!
Research Interests:
My goal is to enable robots to move beyond tool-like roles and instead collaborate with us as partners. To achieve trustworthy human-robot partnership, my research puts humans at the center of robot learning. My work is centered around in-the-wild learning and deployment of human-centered robotics that communicates with humans, collaborates alongside humans, and continually adapts to changes in human environments.
My long term vision is to establish a foundamental human-centered robot learning paradigm that empowers capable and socially aware robot partners in everyday life. Advancing human-centered robot learning requires expanding robot capabilities in human-centric tasks, training robots with data that reflect human values, and improving the explainability of robot behaviors.
I advocate for robot learning from the people, with the people, and for the people.
I’m open to research discussion and collaboration, please feel free to get in touch!
Outreach
For junior PhD/Master/undergraduate students and potential collaborators: I dedicate 30 minutes every two weeks to offer mentorship/advising/help, especially for students from underrepresented groups or whoever is in need. Topics include but are not limited to AI/robotics/HRI research, graduate school application, career development, life, etc. If you would like to chat with me, please fill this form to schedule.
News
- 11/13/2025: Our journal article HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments is accepted to T-ASE!
- 04/11/2025: I’m honored to be part of RSS Pioneers cohort this year!
- 08/16/2024: I started my postdoc at UT Austin RPL Lab! Also, I’m selected as an MIT EECS Rising Star in 2024!
- 05/23/2024: I passed my thesis defense! Big thanks to my advisor, my committee, and my colleagues in HCA lab!
- 01/21/2024: Our paper “DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding” is accepted to RA-L!
- 08/30/2023: Two papers in audio-vision robotics (poster) and long-horizon manipulation (oral) accepted in CoRL 2023!
- 01/2023: Three papers in crowd navigation and audio-vision robotics accepted in ICRA 2023!
- 01/10/2023: Please checkout the website and open-source code for our paper “Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph”.
- 01/03/2023: Our paper “Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection” is accepted as full paper in AAMAS 2023 (Acceptance rate: 23.3%)! For details, please checkout our website and code.
- 11/28/2022: I passed my preliminary exam (also known as thesis proposal)! Big thanks to my advisor, my committee, and my colleagues in HCA lab!
- 06/16/2022: Our paper “Combining Model-Based Controllers And Generative Adversarial Imitation Learning for Traffic Simulation” is accepted in ITSC 2022!
- 05/2022–08/2022: Completed an applied scientist internship at Robotics and AI at Amazon!
- 01/21/2022: Two papers “Learning to Navigate Intersections with Unsupervised Driver Trait Inference” and “Off Environment Evaluation Using Convex Risk Minimization” are accepted in ICRA2022!
- 12/25/2021: Please checkout the open-source code for our paper “Learning to Navigate Intersections with Unsupervised Driver Trait Inference”.
- 03/25/2021: Our paper “Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning” is accepted in ICRA 2021! Also, checkout our code here!
- 06/30/2020: Our paper “Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control” is accepted in IROS 2020!
- 06/19/2020: Starting my PhD journey in HCA group!
- 09/28/2019: My personal website is live!
Miscellaneous
Navigating through an academic career is hard. Here’re the quotes that empowers me from time to time:
- “The scary news is, you’re on your own now. But the cool news is, you’re on your own now.” – Taylor Swift
- “As you rise, many people will disapprove. Rise anyway.” – Prof. Heng Ji
- “People are asking, and I’m asking, what is my legacy? And I tell you, my legacy is my students. They worked hard, but they felt they were appreciated, and there was a sense of camaraderie and support for each other. I didn’t do it consciously, but I guess it came from my motherly instincts. And I’m still in contact with many of them—I worry about their children, the usual grandma!” – Prof. Ruzena Bajcsy (who’s also my academic grandma!)
