Shuijing Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Reinforcement Learning

Risk Minimization

Indoor Environments

Top Venues

Publications

Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty, Katherine Driggs Campbell
Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation. CoRR (2024)
Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Driggs Campbell
DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding. IEEE Robotics Autom. Lett. 9 (4) (2024)
Fatemeh Cheraghi Pouria, Zhe Huang, Ananya Yammanuru, Shuijing Liu, Katherine Driggs Campbell
Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments. CoRR (2024)
Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell
Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. AAMAS (2023)
Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Rose Driggs-Campbell
Learning Visual-Audio Representations for Voice-Controlled Robots. ICRA (2023)
Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. CoRR (2023)
Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRL (2023)
Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs Campbell
Occlusion-Aware Crowd Navigation Using People as Sensors. ICRA (2023)
Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Rose Driggs-Campbell
DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding. CoRR (2023)
Shuijing Liu, Aamir Hasan, Kaiwen Hong, Chun-Kai Yao, Justin Lin, Weihang Liang, Megan A. Bayles, Wendy A. Rogers, Katherine Rose Driggs-Campbell
Designing a Wayfinding Robot for People with Visual Impairments. CoRR (2023)
Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRR (2023)
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Rose Driggs-Campbell
Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph. ICRA (2023)
Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots. CoRL (2023)
Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs Campbell
Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation. CoRR (2023)
Haonan Chen, Tianchen Ji, Shuijing Liu, Katherine Driggs Campbell
Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation. ITSC (2022)
Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs Campbell
Occlusion-Aware Crowd Navigation Using People as Sensors. CoRR (2022)
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Weihang Liang, Junyi Geng, Katherine Rose Driggs-Campbell
Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction. CoRR (2022)
Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Rose Driggs-Campbell
Learning to Navigate Intersections with Unsupervised Driver Trait Inference. ICRA (2022)
Pulkit Katdare, Shuijing Liu, Katherine Driggs Campbell
Off Environment Evaluation Using Convex Risk Minimization. ICRA (2022)
Peixin Chang, Shuijing Liu, Katherine Driggs Campbell
Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots. CoRR (2021)
Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs Campbell
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. ICRA (2021)
Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Driggs Campbell
Learning to Navigate Intersections with Unsupervised Driver Trait Inference. CoRR (2021)
Pulkit Katdare, Shuijing Liu, Katherine Driggs Campbell
Off Environment Evaluation Using Convex Risk Minimization. CoRR (2021)
Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs Campbell
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. CoRR (2020)
Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Driggs Campbell
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. IROS (2020)
Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Rose Driggs-Campbell
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. CoRR (2019)
Anay Pattanaik, Zhenyi Tang, Shuijing Liu, Gautham Bommannan, Girish Chowdhary
Robust Deep Reinforcement Learning with Adversarial Attacks. AAMAS (2018)
Anay Pattanaik, Zhenyi Tang, Shuijing Liu, Gautham Bommannan, Girish Chowdhary
Robust Deep Reinforcement Learning with Adversarial Attacks. CoRR (2017)