Copertina

Vision-Based End-to-End Learning for UAV Traversal of Irregular Gaps via Differentiable Simulation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Linzuo, Hu, Yu, Yu, Feng, Deng, Yang, Yu, Wenxian, 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

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

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

Vector Field Augmented Differentiable Policy Learning for Vision-Based Drone Racing
di: Su, Yang, et al.
Pubblicazione: (2026)

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

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

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

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

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

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

StableTracker: Learning to Stably Track Target via Differentiable Simulation
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)

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

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

DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation
di: Yu, Haibao, et al.
Pubblicazione: (2025)

End-to-End and Highly-Efficient Differentiable Simulation for Robotics
di: Lidec, Quentin Le, et al.
Pubblicazione: (2024)

End-to-End Autonomous Driving through V2X Cooperation
di: Yu, Haibao, et al.
Pubblicazione: (2024)

AerialVLA: A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control
di: Xu, Peng, et al.
Pubblicazione: (2026)

Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control
di: He, Haonan, et al.
Pubblicazione: (2025)

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

ParkingWorld: End-to-End Autonomous Parking Reinforcement Learning from Corrective Experience in 3DGS Simulation
di: Yu, Zhengcheng, et al.
Pubblicazione: (2026)

UAV-VLN: End-to-End Vision Language guided Navigation for UAVs
di: Saxena, Pranav, et al.
Pubblicazione: (2025)

Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
di: Nachkov, Asen, et al.
Pubblicazione: (2024)

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation
di: Yang, Zhenwei, et al.
Pubblicazione: (2024)

Catching Spinning Table Tennis Balls in Simulation with End-to-End Curriculum Reinforcement Learning
di: Hu, Xiaoyi, et al.
Pubblicazione: (2025)

One-Shot Real-to-Sim via End-to-End Differentiable Simulation and Rendering
di: Zhu, Yifan, et al.
Pubblicazione: (2024)

Training and Simulation of Quadrupedal Robot in Adaptive Stair Climbing for Indoor Firefighting: An End-to-End Reinforcement Learning Approach
di: Huang, Baixiao, et al.
Pubblicazione: (2026)

SwarmDiffusion: End-To-End Traversability-Guided Diffusion for Embodiment-Agnostic Navigation of Heterogeneous Robots
di: Zhura, Iana, et al.
Pubblicazione: (2025)

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

End-to-end Multi-Instance Robotic Reaching from Monocular Vision
di: Zhuang, Zheyu, et al.
Pubblicazione: (2024)

REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer
di: Li, Changze, et al.
Pubblicazione: (2026)

Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving
di: Zheng, Yupeng, et al.
Pubblicazione: (2024)

Spatially Visual Perception for End-to-End Robotic Learning
di: Davies, Travis, et al.
Pubblicazione: (2024)

Learning to be Smooth: An End-to-End Differentiable Particle Smoother
di: Younis, Ali, et al.
Pubblicazione: (2025)

DVDP: An End-to-End Policy for Mobile Robot Visual Docking with RGB-D Perception
di: Min, Haohan, et al.
Pubblicazione: (2025)

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving
di: Wang, Baoyun, et al.
Pubblicazione: (2026)

URDF-Anything+: End-to-End Generation for Simulation-Ready Articulated Assets
di: Wu, Zhuangzhe, et al.
Pubblicazione: (2026)

Leveraging Event Streams with Deep Reinforcement Learning for End-to-End UAV Tracking
di: Souissi, Ala, et al.
Pubblicazione: (2024)

Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles
di: Liu, Wenru, et al.
Pubblicazione: (2024)

MfNeuPAN: Proactive End-to-End Navigation in Dynamic Environments via Direct Multi-Frame Point Constraints
di: Ying, Yiwen, et al.
Pubblicazione: (2025)

Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance
di: Bhattacharya, Anish, et al.
Pubblicazione: (2024)