Yingxue Zhang

Huawei Noah's Ark Lab

収録論文 13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

• Faster-WAM: 世界行動モデルに深い行動モジュールは必要か？
  VLA2026/8/3

  ビデオ世界モデルと行動予測を組み合わせた世界行動モデル（WAM）において、行動モジュールの深さをビデオバックボーンから切り離し、軽量な単層ヘッドをドッキングする設計（DoT）を提案。推論速度を3.2倍高速化しつつ、性能と汎化を維持した。

• Faster-WAM: Do World Action Models Need Deep Action Modules?
  2026/8/1
• RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning
  2026/7/1
• Do World Action Models Generalize Better than VLAs? A Robustness Study
  2026/3/1
• H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model
  2026/2/1
• OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning
  2025/9/1
• Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation
  2025/9/1
• Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI
  2025/9/1
• When Engineering Outruns Intelligence: Rethinking Instruction-Guided Navigation
  2025/7/1
• One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration
  2025/5/1
• Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation
  2025/2/1
• SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning
  2025/1/1
• ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models
  2024/10/1