Robust Deep Reinforcement Learning with Adversarial Attacks. - Anay Pattanaik; Zhenyi Tang; Shuijing Liu; Gautham Bommannan; Girish Chowdhary 001 (AAMAS, 2018)

Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. - Peixin Chang; Shuijing Liu; Haonan Chen; Katherine Driggs-Campbell (IROS, 2020)

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. - Shuijing Liu; Peixin Chang; Weihang Liang; Neeloy Chakraborty; Katherine Driggs-Campbell (ICRA, 2021)

Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots. - Peixin Chang; Shuijing Liu; Katherine Driggs-Campbell (CoRR, 2021)

Off Environment Evaluation Using Convex Risk Minimization. - Pulkit Katdare; Shuijing Liu; Katherine Driggs-Campbell (ICRA, 2022)

Learning to Navigate Intersections with Unsupervised Driver Trait Inference. - Shuijing Liu; Peixin Chang; Haonan Chen; Neeloy Chakraborty; Katherine Rose Driggs-Campbell (ICRA, 2022)

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

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction. - Shuijing Liu; Peixin Chang; Zhe Huang 010; Neeloy Chakraborty; Weihang Liang; Junyi Geng; Katherine Rose Driggs-Campbell (CoRR, 2022)

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. - Neeloy Chakraborty; Aamir Hasan 002; Shuijing Liu; Tianchen Ji; Weihang Liang; D. Livingston McPherson; Katherine Rose Driggs-Campbell (AAMAS, 2023)

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 Rose Driggs-Campbell (CoRL, 2023)

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. - Haonan Chen; Yilong Niu; Kaiwen Hong; Shuijing Liu; Yixuan Wang 003; Yunzhu Li; Katherine Rose Driggs-Campbell (CoRL, 2023)

Learning Visual-Audio Representations for Voice-Controlled Robots. - Peixin Chang; Shuijing Liu; D. Livingston McPherson; Katherine Rose Driggs-Campbell (ICRA, 2023)

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph. - Shuijing Liu; Peixin Chang; Zhe Huang 010; Neeloy Chakraborty; Kaiwen Hong; Weihang Liang; D. Livingston McPherson; Junyi Geng; Katherine Rose Driggs-Campbell (ICRA, 2023)

Occlusion-Aware Crowd Navigation Using People as Sensors. - Ye-Ji Mun; Masha Itkina; Shuijing Liu; Katherine Driggs-Campbell (ICRA, 2023)

Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation. - Peixin Chang; Shuijing Liu; Tianchen Ji; Neeloy Chakraborty; D. Livingston McPherson; Katherine Driggs-Campbell (CoRR, 2023)

Designing a Wayfinding Robot for People with Visual Impairments. - Shuijing Liu; Aamir Hasan 002; Kaiwen Hong; Chun-Kai Yao; Justin Lin; Weihang Liang; Megan A. Bayles; Wendy A. Rogers; Katherine Rose Driggs-Campbell (CoRR, 2023)

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation. - Shuijing Liu; Kaiwen Hong; Neeloy Chakraborty; Katherine Driggs-Campbell (CoRR, 2024)

Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments. - Fatemeh Cheraghi Pouria; Zhe Huang 010; Ananya Yammanuru; Shuijing Liu; Katherine Driggs-Campbell (CoRR, 2024)

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments. - Shuijing Liu; Haochen Xia; Fatemeh Cheraghi Pouria; Kaiwen Hong; Neeloy Chakraborty; Katherine Rose Driggs-Campbell (CoRR, 2024)

DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding. - Shuijing Liu; Aamir Hasan 002; Kaiwen Hong; Runxuan Wang; Peixin Chang; Zachary Mizrachi; Justin Lin; D. Livingston McPherson; Wendy A. Rogers; Katherine Driggs-Campbell (IEEE Robotics Autom. Lett., 2024)

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 Rose Driggs-Campbell (CoRR, 2025)

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models. - Huihan Liu; Rutav Shah; Shuijing Liu; Jack Pittenger; Mingyo Seo; Yuchen Cui; Yonatan Bisk; Roberto Martín-Martín; Yuke Zhu (CoRR, 2025)