Yi Zhang

収録論文 36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

• カメラ校正誤差に対して証明可能な一次不感性を持つ差動6自由度姿勢推定
  姿勢推定2026/8/5

  フレーム間の画像変位と既知の3D制御点からプラットフォームの6自由度運動を直接推定する差動姿勢推定法を提案し、並進の外部校正誤差が厳密に相殺されることを証明した。

• Differential 6-DOF Pose Estimation with Provable First-Order Immunity to Camera Calibration Errors
  2026/8/1
• Pelican-VLA 0.5: Attending Before Acting Benefits Generalization
  2026/7/1
• Pelican-Unify 1.0: A Unified Embodied Intelligence Model for Understanding, Reasoning, Imagination and Action
  2026/5/1
• Robo-Cortex: A Self-Evolving Embodied Agent via Dual-Grain Cognitive Memory and Autonomous Knowledge Induction
  2026/5/1
• MASS: Mesh-inellipse Aligned Deformable Surfel Splatting for Hand Reconstruction and Rendering from Egocentric Monocular Video
  2026/4/1
• AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis
  2026/3/1
• Retrieval-Augmented Robots via Retrieve-Reason-Act
  2026/3/1
• PRAM-R: A Perception-Reasoning-Action-Memory Framework with LLM-Guided Modality Routing for Adaptive Autonomous Driving
  2026/3/1
• From Code to Road: A Vehicle-in-the-Loop and Digital Twin-Based Framework for Central Car Server Testing in Autonomous Driving
  2026/3/1
• Passive iFIR filters for data-driven velocity control in robotics
  2026/3/1
• Distributed Virtual Model Control for Scalable Human-Robot Collaboration in Shared Workspace
  2026/2/1
• CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
  2026/1/14
• CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
  2026/1/1
• Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence
  2025/11/1
• Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging
  2025/11/1
• Co-design is powerful and not free
  2025/10/1
• Periodic robust robotic rock chop via virtual model control
  2025/8/1
• A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving
  2025/7/1
• EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks
  2025/3/1
• Dissipative iFIR filters for data-driven design
  2024/12/1
• xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
  2024/9/1
• A Survey of Embodied Learning for Object-Centric Robotic Manipulation
  2024/8/1
• Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training Framework
  2024/6/1
• Life-long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as A Continuous Optimization Process
  2024/5/1
• Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity
  2024/2/1
• Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving
  2023/9/1
• Four years of multi-modal odometry and mapping on the rail vehicles
  2023/8/1
• Indoor simultaneous localization and mapping based on fringe projection profilometry
  2022/4/1
• Rail Vehicle Localization and Mapping with LiDAR-Vision-Inertial-GNSS Fusion
  2021/12/1
• MetroLoc: Metro Vehicle Mapping and Localization with LiDAR-Camera-Inertial Integration
  2021/11/1
• RailLoMer: Rail Vehicle Localization and Mapping with LiDAR-IMU-Odometer-GNSS Data Fusion
  2021/11/1
• DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
  2021/7/1
• Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology
  2019/5/1
• Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies
  2019/5/1
• A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles
  2019/5/1