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)

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

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)

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)

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)

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)