Shuijing Liu

According to our database, Shuijing Liu authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

IEEE Robotics Autom. Lett., 2024

Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments.

Fatemeh Cheraghi Pouria, Zhe Huang, Ananya Yammanuru, Shuijing Liu, Katherine Driggs Campbell

CoRR, 2024

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation.

Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty, Katherine Driggs Campbell

CoRR, 2024

2023

Designing a Wayfinding Robot for People with Visual Impairments.

Shuijing Liu, Aamir Hasan, Kaiwen Hong, Chun-Kai Yao, Justin Lin, Weihang Liang, Megan A. Bayles, Wendy A. Rogers, Katherine Rose Driggs-Campbell

CoRR, 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

Occlusion-Aware Crowd Navigation Using People as Sensors.

Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs Campbell

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph.

Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Rose Driggs-Campbell

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Visual-Audio Representations for Voice-Controlled Robots.

Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Rose Driggs-Campbell

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks.

Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell

Proceedings of the Conference on Robot Learning, 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

Proceedings of the Conference on Robot Learning, 2023

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection.

Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction.

Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Weihang Liang, Junyi Geng, Katherine Rose Driggs-Campbell

CoRR, 2022

Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation.

Haonan Chen, Tianchen Ji, Shuijing Liu, Katherine Driggs Campbell

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Learning to Navigate Intersections with Unsupervised Driver Trait Inference.

Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Rose Driggs-Campbell

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Off Environment Evaluation Using Convex Risk Minimization.

Pulkit Katdare, Shuijing Liu, Katherine Driggs Campbell

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots.

Peixin Chang, Shuijing Liu, Katherine Driggs Campbell

CoRR, 2021

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning.

Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs Campbell

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control.

Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Driggs Campbell

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018

Robust Deep Reinforcement Learning with Adversarial Attacks.

Anay Pattanaik, Zhenyi Tang, Shuijing Liu, Gautham Bommannan, Girish Chowdhary

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018