Yanwei Fu

Fudan University

収録論文 35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

• StructRL: フローベースVLAのための構造化アクション空間探索
  VLA/強化学習2026/8/15

  フローベースの視覚言語行動モデル(VLA)のオンライン強化学習において、ノイズをアクション空間に直接注入する構造化探索手法StructRLを提案し、シミュレーションと実世界タスクで性能を向上させた。

• Vid2WAM: ビデオ拡散事前知識を世界行動モデルへ蒸留する
  VLA2026/8/9

  大規模ビデオ基盤モデルの拡散事前知識をコンパクトな世界行動モデルに蒸留し、専門家デモの少ない環境でもロボットの汎化性能とデータ効率を向上させる手法を提案した。

• Vid2WAM: Distilling Video Diffusion Priors into World Action Models
  2026/8/1
• $\tau_0$-WM: A Unified Video-Action World Model for Robotic Manipulation
  2026/6/1
• Afford-VLA: Action-Aligned Visual Planning via Internalized Affordance
  2026/5/1
• STABLE: Simulation-Ready Tabletop Layout Generation via a Semantics-Physics Dual System
  2026/5/1
• VADF: Vision-Adaptive Diffusion Policy Framework for Efficient Robotic Manipulation
  2026/4/1
• OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation
  2026/4/1
• Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery
  2026/3/1
• OCRA: Object-Centric Learning with 3D and Tactile Priors for Human-to-Robot Action Transfer
  2026/3/1
• PoseVLA: Universal Pose Pretraining for Generalizable Vision-Language-Action Policies
  2026/2/23
• PoseVLA: Universal Pose Pretraining for Generalizable Vision-Language-Action Policies
  2026/2/1
• Say, Dream, and Act: Learning Video World Models for Instruction-Driven Robot Manipulation
  2026/2/1
• ST4VLA: Spatially Guided Training for Vision-Language-Action Models
  2026/2/1
• ActiveVLA: Injecting Active Perception into Vision-Language-Action Models for Precise 3D Robotic Manipulation
  2026/1/1
• DST-Calib: A Dual-Path, Self-Supervised, Target-Free LiDAR-Camera Extrinsic Calibration Network
  2026/1/1
• Schr\"odinger's Navigator: Imagining an Ensemble of Futures for Zero-Shot Object Navigation
  2025/12/1
• TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making
  2025/11/1
• SCOOP'D: Learning Mixed-Liquid-Solid Scooping via Sim2Real Generative Policy
  2025/10/1
• InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
  2025/10/1
• TriVLA: A Triple-System-Based Unified Vision-Language-Action Model with Episodic World Modeling for General Robot Control
  2025/7/1
• Diffusion-Based Imaginative Coordination for Bimanual Manipulation
  2025/7/1
• Spatial-Temporal Aware Visuomotor Diffusion Policy Learning
  2025/7/1
• A Neural Representation Framework with LLM-Driven Spatial Reasoning for Open-Vocabulary 3D Visual Grounding
  2025/7/1
• You Only Estimate Once: Unified, One-stage, Real-Time Category-level Articulated Object 6D Pose Estimation for Robotic Grasping
  2025/6/1
• CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image
  2025/4/1
• Sequential Multi-Object Grasping with One Dexterous Hand
  2025/3/1
• SparseGrasp: Robotic Grasping via 3D Semantic Gaussian Splatting from Sparse Multi-View RGB Images
  2024/12/1
• LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the Occlusion
  2024/8/1
• Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models
  2024/8/1
• WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model
  2023/8/1
• PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring
  2023/7/1
• I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches
  2022/5/1
• Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions
  2022/5/1
• SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation
  2021/6/1