Emre Ugur

収録論文 40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

• Joint Discovery of Object and Action Symbols through Effect Prediction for Robotic Manipulation Planning
  2026/7/1
• Trajectory Learning with Graph Representations for Social Robot Navigation
  2026/7/1
• Task Parameter Extrapolation via Learning Inverse Tasks from Forward Demonstrations
  2026/3/1
• Bilevel Planning with Learned Symbolic Abstractions from Interaction Data
  2026/3/1
• Forecasting in Offline Reinforcement Learning for Non-stationary Environments
  2025/12/1
• Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning
  2025/6/1
• Predictability-Based Curiosity-Guided Action Symbol Discovery
  2025/5/1
• Interleaved Multitask Learning with Energy Modulated Learning Progress
  2025/4/1
• RAMPA: Robotic Augmented Reality for Machine Programming by DemonstrAtion
  2024/10/1
• Neuro-Symbolic Skill Discovery for Conditional Multi-Level Planning
  2024/10/1
• Learning Social Navigation from Demonstrations with Deep Neural Networks
  2024/4/1
• Bidirectional Human Interactive AI Framework for Social Robot Navigation
  2024/4/1
• Cross-Embodied Affordance Transfer through Learning Affordance Equivalences
  2024/4/1
• Learning Early Social Maneuvers for Enhanced Social Navigation
  2024/3/1
• Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer
  2024/3/1
• Conditional Neural Expert Processes for Learning Movement Primitives from Demonstration
  2024/2/1
• A Reinforcement Learning Based Controller to Minimize Forces on the Crutches of a Lower-Limb Exoskeleton
  2024/2/1
• Symbolic Manipulation Planning with Discovered Object and Relational Predicates
  2024/1/1
• Correspondence learning between morphologically different robots via task demonstrations
  2023/10/1
• Developmental Scaffolding with Large Language Models
  2023/9/1
• Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances
  2023/9/1
• Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers
  2023/9/1
• Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
  2023/7/1
• Multi-step planning with learned effects of partial action executions
  2023/3/1
• Meta-World Conditional Neural Processes
  2023/2/1
• World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
  2023/1/1
• Learning Social Navigation from Demonstrations with Conditional Neural Processes
  2022/10/1
• Bimanual rope manipulation skill synthesis through context dependent correction policy learning from human demonstration
  2022/9/1
• Learning Multi-Object Symbols for Manipulation with Attentive Deep Effect Predictors
  2022/8/1
• High-level Features for Resource Economy and Fast Learning in Skill Transfer
  2021/6/1
• Object and Relation Centric Representations for Push Effect Prediction
  2021/2/1
• DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning
  2020/12/1
• Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization
  2020/11/1
• Exploration with Intrinsic Motivation using Object-Action-Outcome Latent Space
  2020/8/1
• Time Perception: A Review on Psychological, Computational and Robotic Models
  2020/7/1
• ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing
  2020/3/1
• Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects
  2019/9/1
• Generalization in Transfer Learning
  2019/9/1
• Symbol Emergence in Cognitive Developmental Systems: a Survey
  2018/1/1
• Robotic Playing for Hierarchical Complex Skill Learning
  2016/3/1