Research

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos
Rutav Shah, Shuijing Liu*, Qi Wang*, Zhenyu Jiang*, Sateesh Kumar, Mingyo Seo, Roberto Martín-Martín, Yuke Zhu.
Under review, 2025.
Paper | Website | Benchmark | Dataset

Beyond Canes and Guide Dogs: A Survey of 40 Years of Robotics for Assisting People with Visual Impairments in Navigation, Wayfinding, and Orientation
John Pohovey, Maria Lusardi*, Aamir Hasan*, Shuijing Liu†, Andre Schreiber†, Samuel Olatunji, Wendy Rogers, Katherine Driggs-Campbell.
Under review, 2025.
Paper | Dataset

Gotta Scoop ’Em All: Sim-and-Real Co-Training of Graph-based Neural Dynamics for Long-Horizon Scooping
Kaiwen Hong, Haonan Chen*, Jiaming Xu*, Runxuan Wang*, Kaylan Wang, Mingtong Zhang, Shuijing Liu, Yifan Zhu, Yunzhu Li, Katherine Driggs-Campbell.
Under review, 2025.

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments
Shuijing Liu, Haochen Xia*, Fatemeh Cheraghi Pouria*, Kaiwen Hong, Neeloy Chakraborty, Zichao Hu, Joydeep Biswas, Katherine Driggs-Campbell.
Accepted in T-ASE, 2025.
Paper | Website | Video | Code
Best Paper Award at ICRA 2025 Workshop on Advances in Social Navigation: Planning, HRI and Beyond

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Huihan Liu, Rutav Shah, Shuijing Liu, Yuchen Cui, Yonatan Bisk, Roberto Martín-Martín, Yuke Zhu.
In CoRL 2025.
Paper | Website | Website

SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation
Michael J. Munje, Chen Tang, Shuijing Liu, Zichao Hu, Yifeng Zhu, Jiaxun Cui, Garrett Warnell, Joydeep Biswas, Peter Stone.
In CoRL 2025.
Paper | Website | Code | Dataset

ComposableNav: Composable Instruction-Following Navigation in Dynamic Environments via Diffusion
Zichao Hu, Chen Tang, Michael J. Munje, Yifeng Zhu, Alex Liu, Shuijing Liu, Garrett Warnell, Peter Stone, Joydeep Biswas.
In CoRL 2025.
Paper | Website | Code | Checkpoints

Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
Haonan Chen, Cheng Zhu, Shuijing Liu, Yunzhu Li, Katherine Driggs-Campbell.
In CoRL 2025.
Paper | Website | Code | Video | Media coverage
Best Paper Award at ICRA 2025 workshop on Foundation Models and Neural-Symbolic (NeSy) AI for Robotics

Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models
Haonan Chen, Jiaming Xu*, Lily Sheng*, Tianchen Ji, Shuijing Liu, Yunzhu Li, Katherine Driggs-Campbell.
In ICRA 2025.
Paper | Website | Code

Developing Wayfinding Robotic Support for Older Persons with Vision Impairments
Samuel A. Olatunji, Megan A. Bayles, Shuijing Liu, Aamir Hasan, Katherine Driggs-Campbell, Wendy A. Rogers.
In Assistive Technology, 2025.
Paper

DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding
Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Driggs-Campbell.
In IEEE Robotics and Automation Letters (RA-L), 2024.
Paper | Website | Video | Code

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, Junyi Geng, D. Livingston McPherson, Katherine Driggs-Campbell.
In ICRA 2023.
Paper | Website | Video | Code
Best poster award at IROS 2023 Last-Mile Robotics Workshop

Learning to Navigate Intersections with Unsupervised Driver Trait Inference
Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Driggs-Campbell.
In ICRA 2022.
Paper | Website | Code | Video

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
Shuijing Liu*, Peixin Chang*, Weihang Liang†, Neeloy Chakraborty†, Katherine Driggs-Campbell.
In ICRA 2021.
Paper | Website | Video | Code

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Driggs-Champbell.
In CoRL 2023.
Paper | Website | Video

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell.
In CoRL 2023. (Best Student Paper Award Finalist)
Paper | Website | Code

Occlusion-Aware Crowd Navigation Using People as Sensors
Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell.
In ICRA 2023.
Paper | Video | Code | Media coverage

Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
Neeloy Chakraborty, Shuijing Liu*, Aamir Hasan*, Tianchen Ji*, Eric Liang, D. Livingston McPherson, Katherine Driggs-Campbell.
In AAMAS 2023 (Full paper).
Paper | Website | Code

Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation
Haonan Chen, Tianchen Ji, Shuijing Liu, Katherine Driggs-Campbell.
In ITSC 2022.
Paper

Off Environment Evaluation Using Convex Risk Minimization
Pulkit Katdare, Shuijing Liu, Katherine Driggs-Campbell.
In ICRA 2022.
Paper | Code

Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control
Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Driggs-Campbell.
In IROS 2020.
Paper | Website | Video

Learning Visual-Audio Representations for Voice-Controlled Robots
Peixin Chang, Shuijing Liu, Katherine Driggs-Campbell.
In ICRA 2023.
Paper | Website | Code

An Interdisciplinary Approach: Potential for Robotic Support to Address Wayfinding Barriers Among Persons with Visual Impairments
Megan A. Bayles, Travis Kadylak, Shuijing Liu, Aamir Hasan, Weihang Liang, Kaiwen Hong, Katherine Driggs-Campbell, Wendy A. Rogers.
In HFES 2022.
Paper

Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik, Shuijing Liu*, Zhenyi Tang*, Gautham Bommannan, Girish Chowdhary.
In AAMAS 2018 (Extended abstract).
Paper | Video | Supplementary materials