Copertina

Vector Field Augmented Differentiable Policy Learning for Vision-Based Drone Racing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Su, Yang, Yu, Feng, Hu, Yu, Niu, Xinze, Zhang, Linzuo, Sun, Fangyu, Zou, Danping
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Mastering Diverse, Unknown, and Cluttered Tracks for Robust Vision-Based Drone Racing
di: Yu, Feng, et al.
Pubblicazione: (2025)

Curriculum Reinforcement Learning for Quadrotor Racing with Random Obstacles
di: Sun, Fangyu, et al.
Pubblicazione: (2026)

Vision-Based End-to-End Learning for UAV Traversal of Irregular Gaps via Differentiable Simulation
di: Zhang, Linzuo, et al.
Pubblicazione: (2026)

Mapless Collision-Free Flight via MPC using Dual KD-Trees in Cluttered Environments
di: Zhang, Linzuo, et al.
Pubblicazione: (2025)

QuadAgent: A Responsive Agent System for Vision-Language Guided Quadrotor Agile Flight
di: Zhuang, Ao, et al.
Pubblicazione: (2026)

AI-IO: An Aerodynamics-Inspired Real-Time Inertial Odometry for Quadrotors
di: Cui, Jiahao, et al.
Pubblicazione: (2026)

E2E-Fly: An Integrated Training-to-Deployment System for End-to-End Quadrotor Autonomy
di: Sun, Fangyu, et al.
Pubblicazione: (2026)

VisFly: An Efficient and Versatile Simulator for Training Vision-based Flight
di: Li, Fanxing, et al.
Pubblicazione: (2024)

Seeing Through Pixel Motion: Learning Obstacle Avoidance from Optical Flow with One Camera
di: Hu, Yu, et al.
Pubblicazione: (2024)

ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards
di: Li, Fanxing, et al.
Pubblicazione: (2025)

Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics
di: Zhang, Yuang, et al.
Pubblicazione: (2024)

Swooper: Learning High-Speed Aerial Grasping With a Simple Gripper
di: Huang, Ziken, et al.
Pubblicazione: (2026)

VisFly-Lab: Unified Differentiable Framework for First-Order Reinforcement Learning of Quadrotor Control
di: Li, Fanxing, et al.
Pubblicazione: (2026)

StableTracker: Learning to Stably Track Target via Differentiable Simulation
di: Li, Fanxing, et al.
Pubblicazione: (2025)

Simple but Stable, Fast and Safe: Achieve End-to-end Control by High-Fidelity Differentiable Simulation
di: Li, Fanxing, et al.
Pubblicazione: (2026)

Learning Generalizable Policy for Obstacle-Aware Autonomous Drone Racing
di: Liu, Yueqian
Pubblicazione: (2024)

SkyDreamer: Interpretable End-to-End Vision-Based Drone Racing with Model-Based Reinforcement Learning
di: Verraest, Aderik, et al.
Pubblicazione: (2025)

Dual Pose-Graph Semantic Localization for Vision-Based Autonomous Drone Racing
di: Perez-Saura, David, et al.
Pubblicazione: (2026)

Vision-Augmented On-Track System Identification for Autonomous Racing via Attention-Based Priors and Iterative Neural Correction
di: Wu, Zhiping, et al.
Pubblicazione: (2026)

Vision-Guided MPPI for Agile Drone Racing: Navigating Arbitrary Gate Poses via Neural Signed Distance Fields
di: Zhao, Fangguo, et al.
Pubblicazione: (2026)

Autonomous Drone Racing: A Survey
di: Hanover, Drew, et al.
Pubblicazione: (2023)

Open-World Drone Active Tracking with Goal-Centered Rewards
di: Sun, Haowei, et al.
Pubblicazione: (2024)

GRaD-Nav++: Vision-Language Model Enabled Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics
di: Chen, Qianzhong, et al.
Pubblicazione: (2025)

OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
di: Xu, Botian, et al.
Pubblicazione: (2023)

MonoRace: Winning Champion-Level Drone Racing with Robust Monocular AI
di: Bahnam, Stavrow A., et al.
Pubblicazione: (2026)

GRaD-Nav: Efficiently Learning Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics
di: Chen, Qianzhong, et al.
Pubblicazione: (2025)

OmniRace: 6D Hand Pose Estimation for Intuitive Guidance of Racing Drone
di: Serpiva, Valerii, et al.
Pubblicazione: (2024)

Improving Drone Racing Performance Through Iterative Learning MPC
di: Zhao, Haocheng, et al.
Pubblicazione: (2025)

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases
di: Yin, Jie, et al.
Pubblicazione: (2024)

SINGER: An Onboard Generalist Vision-Language Navigation Policy for Drones
di: Adang, Maximilian, et al.
Pubblicazione: (2025)

RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour
di: Serpiva, Valerii, et al.
Pubblicazione: (2025)

Time-Optimal Gate-Traversing Planner for Autonomous Drone Racing
di: Qin, Chao, et al.
Pubblicazione: (2023)

Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments
di: Feng, Zhaohan, et al.
Pubblicazione: (2024)

Vision-based Learning for Drones: A Survey
di: Xiao, Jiaping, et al.
Pubblicazione: (2023)

Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing
di: Papuc, Andrei-Carlo, et al.
Pubblicazione: (2026)

Environment as Policy: Learning to Race in Unseen Tracks
di: Wang, Hongze, et al.
Pubblicazione: (2024)

Gate-Aware Online Planning for Two-Player Autonomous Drone Racing
di: Zhao, Fangguo, et al.
Pubblicazione: (2024)

On Your Own: Pro-level Autonomous Drone Racing in Uninstrumented Arenas
di: Bosello, Michael, et al.
Pubblicazione: (2025)

Drift-Corrected Monocular VIO and Perception-Aware Planning for Autonomous Drone Racing
di: Azhari, Maulana Bisyir, et al.
Pubblicazione: (2025)

Robust Tightly-Coupled Filter-Based Monocular Visual-Inertial State Estimation and Graph-Based Evaluation for Autonomous Drone Racing
di: Azhari, Maulana Bisyir, et al.
Pubblicazione: (2026)