Tom Silver

収録論文 29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

• Recover, Discover, Plan: Learning Skills and Concepts from Robot Failures
  2026/6/1
• KinDER: A Physical Reasoning Benchmark for Robot Learning and Planning
  2026/4/1
• A Human-in-the-Loop Confidence-Aware Failure Recovery Framework for Modular Robot Policies
  2026/2/1
• Unifying Deep Predicate Invention with Pre-trained Foundation Models
  2025/12/1
• SLAP: Shortcut Learning for Abstract Planning
  2025/11/1
• ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning
  2025/9/1
• PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction
  2025/9/1
• FEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization
  2025/6/1
• SAVOR: Skill Affordance Learning from Visuo-Haptic Perception for Robot-Assisted Bite Acquisition
  2025/6/1
• Coloring Between the Lines: Personalization in the Null Space of Planning Constraints
  2025/5/1
• CLAMP: Crowdsourcing a LArge-scale in-the-wild haptic dataset with an open-source device for Multimodal robot Perception
  2025/5/1
• Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators
  2025/4/1
• Bilevel Learning for Bilevel Planning
  2025/2/1
• GRACE: Generalizing Robot-Assisted Caregiving with User Functionality Embeddings
  2025/1/1
• From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models
  2025/1/1
• CART-MPC: Coordinating Assistive Devices for Robot-Assisted Transferring with Multi-Agent Model Predictive Control
  2025/1/1
• VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
  2024/10/1
• Anticipatory Task and Motion Planning
  2024/7/1
• Practice Makes Perfect: Planning to Learn Skill Parameter Policies
  2024/2/1
• Embodied Active Learning of Relational State Abstractions for Bilevel Planning
  2023/3/1
• Learning Efficient Abstract Planning Models that Choose What to Predict
  2022/8/1
• Learning Neuro-Symbolic Skills for Bilevel Planning
  2022/6/1
• Predicate Invention for Bilevel Planning
  2022/3/1
• Discovering State and Action Abstractions for Generalized Task and Motion Planning
  2021/9/1
• Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning
  2021/5/1
• Learning Symbolic Operators for Task and Motion Planning
  2021/3/1
• Integrated Task and Motion Planning
  2020/10/1
• CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
  2020/7/1
• Residual Policy Learning
  2018/12/1