Yukiyasu Domae

National Institute of AIST

収録論文 30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

• ORPA: 人間のフィードバックを用いたロボット操作制御のためのオンライン残差ポリシー適応
  マニピュレーション2026/8/18

  模倣学習で訓練された操作ポリシーの実行時エラーを、基盤ポリシーを変更せずに軽量なフィードバック条件付きモジュールで残差補正するフレームワークを提案し、ALOHAプラットフォームでの精密操作タスクで成功率向上を実証した。

• TWINS: A Tactile Wearable Isomorphic Arm Networked System for Contact-Rich Manipulation Learning
  2026/8/1
• GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation Learning
  2026/7/1
• YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale
  2026/6/1
• Replaceable Bit-based Gripper for Picking Cluttered Food Items
  2026/1/1
• A Flexible Field-Based Policy Learning Framework for Diverse Robotic Systems and Sensors
  2025/12/1
• Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision
  2025/9/1
• RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulation Environments
  2025/9/1
• NeuralMeshing: Complete Object Mesh Extraction from Casual Captures
  2025/8/1
• Visual Prompting for Robotic Manipulation with Annotation-Guided Pick-and-Place Using ACT
  2025/8/1
• Robust Instant Policy: Leveraging Student's t-Regression Model for Robust In-context Imitation Learning of Robot Manipulation
  2025/6/1
• Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers
  2025/3/1
• SuctionPrompt: Visual-assisted Robotic Picking with a Suction Cup Using Vision-Language Models and Facile Hardware Design
  2024/10/1
• Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models
  2024/10/1
• Component Selection for Craft Assembly Tasks
  2024/7/1
• NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields
  2023/9/1
• Motion Priority Optimization Framework towards Automated and Teleoperated Robot Cooperation in Industrial Recovery Scenarios
  2023/8/1
• A Closed-Loop Bin Picking System for Entangled Wire Harnesses using Bimanual and Dynamic Manipulation
  2023/6/1
• Force Map: Learning to Predict Contact Force Distribution from Vision
  2023/4/1
• Learning to Dexterously Pick or Separate Tangled-Prone Objects for Industrial Bin Picking
  2023/2/1
• Learning Efficient Policies for Picking Entangled Wire Harnesses: An Approach to Industrial Bin Picking
  2021/12/1
• Material Classification Using Active Temperature Controllable Robotic Gripper
  2021/11/1
• A Topological Solution of Entanglement for Complex-shaped Parts in Robotic Bin-picking
  2021/6/1
• Planning a Sequence of Base Positions for a Mobile Manipulator to Perform Multiple Pick-and-Place Tasks
  2020/10/1
• Development of a Shape-memorable Adaptive Pin Array Fixture
  2020/5/1
• Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools
  2020/3/1
• Selecting and Designing Grippers for an Assembly Task in a Structured Approach
  2020/3/1
• Planning an Efficient and Robust Base Sequence for a Mobile Manipulator Performing Multiple Pick-and-place Tasks
  2020/1/1
• Learning Based Industrial Bin-picking Trained with Approximate Physics Simulator
  2018/5/1
• 3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances
  2017/10/1