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

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)

Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration. - Zhe Huang 010; Ye-Ji Mun; Xiang Li; Yiqing Xie; Ninghan Zhong; Weihang Liang; Junyi Geng; Tan Chen 001; 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)

Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks. - Zhe Huang 010; Ye-Ji Mun; Xiang Li; Yiqing Xie; Ninghan Zhong; Weihang Liang; Junyi Geng; Tan Chen 001; 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)

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)