Nicklas Hansen

University of California San Diego

収録論文 27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

• FACT: 失敗を考慮した因果的ワールドアクションモデルの訓練
  VLA2026/8/10

  ワールドアクションモデルに失敗データを組み込み、行動の結果を予測する因果的モデルを提案。シミュレーションと実機の双腕操作で既存手法を上回る性能を示した。

• FACT: Failure-Aware Causal Training for World-Action Models
  2026/8/1
• RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures
  2026/7/1
• Hallucination in World Models is Predictable and Preventable
  2026/6/1
• Generating Robot Hands from Human Demonstrations
  2026/6/1
• Learning Massively Multitask World Models for Continuous Control
  2025/11/1
• Learning to Design Soft Hands using Reward Models
  2025/10/1
• Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
  2025/3/1
• A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
  2024/7/1
• PWM: Policy Learning with Multi-Task World Models
  2024/7/1
• A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning
  2024/5/1
• Hierarchical World Models as Visual Whole-Body Humanoid Controllers
  2024/5/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• TD-MPC2: Scalable, Robust World Models for Continuous Control
  2023/10/1
• Finetuning Offline World Models in the Real World
  2023/10/1
• MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
  2023/9/1
• GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
  2023/8/1
• MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
  2022/12/1
• On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
  2022/12/1
• Visual Reinforcement Learning with Self-Supervised 3D Representations
  2022/10/1
• On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
  2022/10/1
• Graph Inverse Reinforcement Learning from Diverse Videos
  2022/7/1
• Temporal Difference Learning for Model Predictive Control
  2022/3/1
• Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation
  2022/1/1
• Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
  2021/7/1
• Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers
  2021/7/1
• Self-Supervised Policy Adaptation during Deployment
  2020/7/1