Yu Hu

収録論文 20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

• FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation
  2026/8/1
• DART: Dual-Axis Airborne Reachability-Gated Torque-Reaction for Off-Road Vehicle Jumps
  2026/7/1
• AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight
  2026/7/1
• Asymmetric physics enables efficient learning in quadrupedal robot swarms
  2026/6/1
• Hand-centric Human-to-Robot Trajectory Transfer from Video Demonstrations via Open-World Contact Localization
  2026/6/1
• Autonomous FPV Flight with Translational Optical Flow and Uncertainty Mask
  2026/6/1
• E2E-Fly: An Integrated Training-to-Deployment System for End-to-End Quadrotor Autonomy
  2026/4/1
• Vision-Based End-to-End Learning for UAV Traversal of Irregular Gaps via Differentiable Simulation
  2026/4/1
• Vector Field Augmented Differentiable Policy Learning for Vision-Based Drone Racing
  2026/3/1
• AI-IO: An Aerodynamics-Inspired Real-Time Inertial Odometry for Quadrotors
  2026/3/1
• Curriculum Reinforcement Learning for Quadrotor Racing with Random Obstacles
  2026/2/1
• Mastering Diverse, Unknown, and Cluttered Tracks for Robust Vision-Based Drone Racing
  2025/12/1
• Advancing Off-Road Autonomous Driving: The Large-Scale ORAD-3D Dataset and Comprehensive Benchmarks
  2025/10/1
• Mapless Collision-Free Flight via MPC using Dual KD-Trees in Cluttered Environments
  2025/3/1
• Seeing Through Pixel Motion: Learning Obstacle Avoidance from Optical Flow with One Camera
  2024/11/1
• Autonomous Driving in Unstructured Environments: How Far Have We Come?
  2024/10/1
• WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction
  2024/10/1
• TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation
  2024/8/1
• Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics
  2024/7/1
• Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving
  2023/2/1