Copertina

Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ryou, Gilhyun, Wang, Geoffrey, Karaman, Sertac
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Real-Time Sampling-based Online Planning for Drone Interception
di: Ryou, Gilhyun, et al.
Pubblicazione: (2025)

Learning When to Ask for Help: Efficient Interactive Navigation via Implicit Uncertainty Estimation
di: Igbinedion, Ifueko, et al.
Pubblicazione: (2023)

UfM*: Uncertainty from Motion* for DNN Depth Estimation Using Gaussians
di: Sudhakar, Soumya, et al.
Pubblicazione: (2026)

GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model
di: Li, Peter Zhi Xuan, et al.
Pubblicazione: (2023)

Learning autonomous driving from aerial imagery
di: Murali, Varun, et al.
Pubblicazione: (2024)

SCREP: Scene Coordinate Regression and Evidential Learning-based Perception-Aware Trajectory Generation
di: Han, Juyeop, et al.
Pubblicazione: (2025)

Gleanmer: A 6 mW SoC for Real-Time 3D Gaussian Occupancy Mapping
di: Fu, Zih-Sing, et al.
Pubblicazione: (2026)

Multi-Task Reinforcement Learning for Quadrotors
di: Xing, Jiaxu, et al.
Pubblicazione: (2024)

ReGen: Generative Robot Simulation via Inverse Design
di: Nguyen, Phat, et al.
Pubblicazione: (2025)

GEVO: Memory-Efficient Monocular Visual Odometry Using Gaussians
di: Gao, Dasong, et al.
Pubblicazione: (2024)

NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented Camera Pose Regressor and Uncertainty Quantification
di: Han, Juyeop, et al.
Pubblicazione: (2024)

DecTrain: Deciding When to Train a Monocular Depth DNN Online
di: Fu, Zih-Sing, et al.
Pubblicazione: (2024)

Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models
di: Nguyen, Phat, et al.
Pubblicazione: (2024)

Perception-Aware Time-Optimal Planning for Quadrotor Waypoint Flight
di: Qin, Chao, et al.
Pubblicazione: (2026)

Imitation Learning-Based Online Time-Optimal Control with Multiple-Waypoint Constraints for Quadrotors
di: Zhou, Jin, et al.
Pubblicazione: (2024)

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

TOPPQuad: Dynamically-Feasible Time Optimal Path Parametrization for Quadrotors
di: Mao, Katherine, et al.
Pubblicazione: (2023)

Multi-Agent Reinforcement Learning for the Low-Level Control of a Quadrotor UAV
di: Yu, Beomyeol, et al.
Pubblicazione: (2023)

SAFe-Copilot: Unified Shared Autonomy Framework
di: Nguyen, Phat, et al.
Pubblicazione: (2025)

Time-Optimal Planning for Long-Range Quadrotor Flights: An Automatic Optimal Synthesis Approach
di: Qin, Chao, et al.
Pubblicazione: (2024)

Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation
di: Saunders, Jack, et al.
Pubblicazione: (2022)

Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-based Robustness Analysis
di: Mao, Katherine, et al.
Pubblicazione: (2025)

FLARE: Agile Flights for Quadrotor Cable-Suspended Payload System via Reinforcement Learning
di: Cao, Dongcheng, et al.
Pubblicazione: (2025)

JuggleRL: Mastering Ball Juggling with a Quadrotor via Deep Reinforcement Learning
di: Ji, Shilong, et al.
Pubblicazione: (2025)

Probing Multimodal LLMs as World Models for Driving
di: Sreeram, Shiva, et al.
Pubblicazione: (2024)

Motion-Specific Battery Health Assessment for Quadrotors Using High-Fidelity Battery Models
di: Kim, Joonhee, et al.
Pubblicazione: (2026)

MAVEN: A Meta-Reinforcement Learning Framework for Varying-Dynamics Expertise in Agile Quadrotor Maneuvers
di: Zhou, Jin, et al.
Pubblicazione: (2026)

Unifying Quadrotor Motion Planning and Control by Chaining Different Fidelity Models
di: Reiter, Rudolf, et al.
Pubblicazione: (2025)

Adaptive Outer-Loop Control of Quadrotors via Reinforcement Learning
di: Saj, Vishnu, et al.
Pubblicazione: (2026)

Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control
di: Yu, Beomyeol, et al.
Pubblicazione: (2025)

Optimal Smooth Coverage Trajectory Planning for Quadrotors in Cluttered Environment
di: Li, Duanjiao, et al.
Pubblicazione: (2025)

ASTER: Attitude-aware Suspended-payload Quadrotor Traversal via Efficient Reinforcement Learning
di: Cao, Dongcheng, et al.
Pubblicazione: (2026)

Reinforcement Learning Based Prediction of PID Controller Gains for Quadrotor UAVs
di: Sönmez, Serhat, et al.
Pubblicazione: (2025)

Multi-Model Predictive Attitude Control of Quadrotors
di: Izadi, Mohammadreza, et al.
Pubblicazione: (2024)

Learning Model Predictive Control for Quadrotors
di: Li, Guanrui, et al.
Pubblicazione: (2022)

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

Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
di: Wang, Xian, et al.
Pubblicazione: (2024)

Dynamics-Invariant Quadrotor Control using Scale-Aware Deep Reinforcement Learning
di: Vaidya, Varad, et al.
Pubblicazione: (2025)

Reinforcement Learning-based Fault-Tolerant Control for Quadrotor with Online Transformer Adaptation
di: Kim, Dohyun, et al.
Pubblicazione: (2025)

Curriculum-based Sample Efficient Reinforcement Learning for Robust Stabilization of a Quadrotor
di: Suarez, Fausto Mauricio Lagos, et al.
Pubblicazione: (2025)