Shuijing Liu

収録論文 22本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos
  2025/9/1
• ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion
  2025/9/1
• SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation
  2025/9/1
• Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
  2025/6/1
• Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
  2025/4/1
• Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models
  2025/3/1
• HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments
  2024/11/1
• Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments
  2024/7/1
• Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
  2024/5/1
• Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
  2023/9/1
• DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding
  2023/7/1
• Designing a Wayfinding Robot for People with Visual Impairments
  2023/2/1
• Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
  2023/1/1
• A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
  2023/1/1
• Occlusion-Aware Crowd Navigation Using People as Sensors
  2022/10/1
• Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
  2022/3/1
• Off Environment Evaluation Using Convex Risk Minimization
  2021/12/1
• Learning to Navigate Intersections with Unsupervised Driver Trait Inference
  2021/9/1
• Learning Visual-Audio Representations for Voice-Controlled Robots
  2021/9/1
• Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
  2020/11/1
• Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control
  2019/9/1
• Robust Deep Reinforcement Learning with Adversarial Attacks
  2017/12/1