Shuijing Liu

Orcid: 0000-0002-0038-2956

According to our database1, Shuijing Liu authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding.
IEEE Robotics Autom. Lett., 2024

Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments.
CoRR, 2024

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation.
CoRR, 2024

2023
Designing a Wayfinding Robot for People with Visual Impairments.
CoRR, 2023

Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation.
CoRR, 2023

Occlusion-Aware Crowd Navigation Using People as Sensors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Visual-Audio Representations for Voice-Controlled Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks.
Proceedings of the Conference on Robot Learning, 2023

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots.
Proceedings of the Conference on Robot Learning, 2023

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection.
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.
CoRR, 2022

Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Learning to Navigate Intersections with Unsupervised Driver Trait Inference.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Off Environment Evaluation Using Convex Risk Minimization.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots.
CoRR, 2021

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018
Robust Deep Reinforcement Learning with Adversarial Attacks.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018


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