Julie Shah

収録論文 21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

• Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming
  2026/4/1
• Analyzing Reluctance to Ask for Help When Cooperating With Robots: Insights to Integrate Artificial Agents in HRC
  2025/9/1
• Learning Contextually-Adaptive Rewards via Calibrated Features
  2025/6/1
• Inference-Time Policy Steering through Human Interactions
  2024/11/1
• Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection
  2024/10/1
• Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
  2024/3/1
• Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration
  2024/2/1
• Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
  2023/7/1
• Aligning Robot and Human Representations
  2023/2/1
• Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations
  2022/6/1
• Explaining Reward Functions to Humans for Better Human-Robot Collaboration
  2021/10/1
• Emergent Discrete Communication in Semantic Spaces
  2021/8/1
• Supervised Bayesian Specification Inference from Demonstrations
  2021/7/1
• RoCUS: Robot Controller Understanding via Sampling
  2020/12/1
• Interactive Robot Training for Non-Markov Tasks
  2020/3/1
• Adversarially Guided Self-Play for Adopting Social Conventions
  2020/1/1
• Planning With Uncertain Specifications (PUnS)
  2019/6/1
• Mathematical Models of Adaptation in Human-Robot Collaboration
  2017/7/1
• Toward a Science of Autonomy for Physical Systems: Paths
  2016/9/1
• Efficient Model Learning for Human-Robot Collaborative Tasks
  2014/5/1
• Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior
  2013/6/1