Guy Rosman

収録論文 41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

• Spatio-Temporal Retrieval-based Priors for Adaptive Computational Teaching in Driving
  2026/6/1
• Proximal State Nudging: Reducing Skill Atrophy from AI Assistance
  2026/5/1
• On the Strengths and Weaknesses of Data for Open-set Embodied Assistance
  2026/3/1
• SutureFormer: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel Space
  2026/3/1
• Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
  2025/12/1
• SAFe-Copilot: Unified Shared Autonomy Framework
  2025/11/1
• ReGen: Generative Robot Simulation via Inverse Design
  2025/11/1
• Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings
  2025/9/1
• SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching
  2025/9/1
• A Simulator Dataset to Support the Study of Impaired Driving
  2025/7/1
• Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports
  2025/4/1
• Shared Autonomy for Proximal Teaching
  2025/2/1
• Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing
  2024/10/1
• Learning autonomous driving from aerial imagery
  2024/10/1
• Computational Teaching for Driving via Multi-Task Imitation Learning
  2024/10/1
• Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach
  2024/9/1
• Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance
  2024/9/1
• Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions
  2024/6/1
• Probing Multimodal LLMs as World Models for Driving
  2024/5/1
• Blending Data-Driven Priors in Dynamic Games
  2024/2/1
• Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models
  2023/10/1
• NashFormer: Leveraging Local Nash Equilibria for Semantically Diverse Trajectory Prediction
  2023/5/1
• Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving
  2023/5/1
• Specification-Guided Data Aggregation for Semantically Aware Imitation Learning
  2023/3/1
• MPOGames: Efficient Multimodal Partially Observable Dynamic Games
  2022/10/1
• Learning Latent Traits for Simulated Cooperative Driving Tasks
  2022/7/1
• Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
  2022/3/1
• TIP: Task-Informed Motion Prediction for Intelligent Vehicles
  2021/10/1
• Trajectory Prediction with Linguistic Representations
  2021/10/1
• MAAD: A Model and Dataset for "Attended Awareness" in Driving
  2021/10/1
• HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
  2021/10/1
• Risk Conditioned Neural Motion Planning
  2021/8/1
• Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation
  2020/11/1
• Behaviorally Diverse Traffic Simulation via Reinforcement Learning
  2020/11/1
• MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
  2020/9/1
• Driving Through Ghosts: Behavioral Cloning with False Positives
  2020/8/1
• Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
  2020/7/1
• CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy
  2020/3/1
• Deep Context Maps: Agent Trajectory Prediction using Location-specific Latent Maps
  2019/12/1
• DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling
  2019/11/1
• Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
  2019/1/1