Reinforcement Twinning for Hybrid Control of Flapping-Wing Drones
Fuente:
arXiv
Guardado en:
| Autores principales: | Poletti, Romain, Schena, Lorenzo, Koloszar, Lilla, Degroote, Joris, Mendez, Miguel Alfonso |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Characterisation and extension of a rigid body dynamics solver coupled with OpenFOAM for flight performance analysis of flapping-wing drones
por: Poletti, Romain, et al.
Publicado: (2025)
por: Poletti, Romain, et al.
Publicado: (2025)
On the unsteady aerodynamics of flapping wings under dynamic hovering kinematics
por: Poletti, Romain, et al.
Publicado: (2024)
por: Poletti, Romain, et al.
Publicado: (2024)
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
por: Xu, Botian, et al.
Publicado: (2023)
por: Xu, Botian, et al.
Publicado: (2023)
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning
por: Dou, Jizhe, et al.
Publicado: (2024)
por: Dou, Jizhe, et al.
Publicado: (2024)
MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation
por: Ramezani, Mahya, et al.
Publicado: (2025)
por: Ramezani, Mahya, et al.
Publicado: (2025)
Digital Twin-based Control Co-Design of Full Vehicle Active Suspensions via Deep Reinforcement Learning
por: Tsai, Ying-Kuan, et al.
Publicado: (2025)
por: Tsai, Ying-Kuan, et al.
Publicado: (2025)
Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning
por: Minghao, Zhang, et al.
Publicado: (2025)
por: Minghao, Zhang, et al.
Publicado: (2025)
Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions
por: Olivares, David, et al.
Publicado: (2024)
por: Olivares, David, et al.
Publicado: (2024)
Digital Twin Supervised Reinforcement Learning Framework for Autonomous Underwater Navigation
por: Mari, Zamirddine, et al.
Publicado: (2025)
por: Mari, Zamirddine, et al.
Publicado: (2025)
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
por: Wang, Xian, et al.
Publicado: (2024)
por: Wang, Xian, et al.
Publicado: (2024)
Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change
por: Xu, Ruichen, et al.
Publicado: (2024)
por: Xu, Ruichen, et al.
Publicado: (2024)
Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows
por: Yu, Hao, et al.
Publicado: (2024)
por: Yu, Hao, et al.
Publicado: (2024)
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
por: Theile, Mirco, et al.
Publicado: (2025)
por: Theile, Mirco, et al.
Publicado: (2025)
Bio-Inspired Compensatory Strategies for Damage to Flapping Robotic Propulsors
por: Hooper, Meredith L., et al.
Publicado: (2024)
por: Hooper, Meredith L., et al.
Publicado: (2024)
Deep Reinforcement Learning for Time-Critical Wilderness Search And Rescue Using Drones
por: Ewers, Jan-Hendrik, et al.
Publicado: (2024)
por: Ewers, Jan-Hendrik, et al.
Publicado: (2024)
Data-Driven Approaches for Thrust Prediction in Underwater Flapping Fin Propulsion Systems
por: Lee, Julian, et al.
Publicado: (2024)
por: Lee, Julian, et al.
Publicado: (2024)
Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning
por: Li, Tao, et al.
Publicado: (2023)
por: Li, Tao, et al.
Publicado: (2023)
Strategic Coordination of Drones via Short-term Distributed Optimization and Long-term Reinforcement Learning
por: Qin, Chuhao, et al.
Publicado: (2023)
por: Qin, Chuhao, et al.
Publicado: (2023)
Mixed-Reality Digital Twins: Leveraging the Physical and Virtual Worlds for Hybrid Sim2Real Transition of Multi-Agent Reinforcement Learning Policies
por: Samak, Chinmay Vilas, et al.
Publicado: (2024)
por: Samak, Chinmay Vilas, et al.
Publicado: (2024)
Underwater Soft Fin Flapping Motion with Deep Neural Network Based Surrogate Model
por: Hamamatsu, Yuya, et al.
Publicado: (2025)
por: Hamamatsu, Yuya, et al.
Publicado: (2025)
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation
por: Giral, Francisco, et al.
Publicado: (2024)
por: Giral, Francisco, et al.
Publicado: (2024)
Reinforcement Twinning: from digital twins to model-based reinforcement learning
por: Schena, Lorenzo, et al.
Publicado: (2023)
por: Schena, Lorenzo, et al.
Publicado: (2023)
Iterative Compositional Data Generation for Robot Control
por: Pham, Anh-Quan, et al.
Publicado: (2025)
por: Pham, Anh-Quan, et al.
Publicado: (2025)
TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
por: Im, Hokyun, et al.
Publicado: (2025)
por: Im, Hokyun, et al.
Publicado: (2025)
Incremental Learning of Affordances using Markov Logic Networks
por: Potter, George, et al.
Publicado: (2024)
por: Potter, George, et al.
Publicado: (2024)
Enhancing Tactile-based Reinforcement Learning for Robotic Control
por: Miller, Elle, et al.
Publicado: (2025)
por: Miller, Elle, et al.
Publicado: (2025)
Shared Control of Holonomic Wheelchairs through Reinforcement Learning
por: Bähler, Jannis, et al.
Publicado: (2025)
por: Bähler, Jannis, et al.
Publicado: (2025)
Trajectory Entropy Reinforcement Learning for Predictable and Robust Control
por: You, Bang, et al.
Publicado: (2025)
por: You, Bang, et al.
Publicado: (2025)
Learning Tool-Aware Adaptive Compliant Control for Autonomous Regolith Excavation
por: Orsula, Andrej, et al.
Publicado: (2025)
por: Orsula, Andrej, et al.
Publicado: (2025)
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
por: Xu, Zelai, et al.
Publicado: (2025)
por: Xu, Zelai, et al.
Publicado: (2025)
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges
por: Arana-Catania, Miguel, et al.
Publicado: (2025)
por: Arana-Catania, Miguel, et al.
Publicado: (2025)
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios
por: Jiang, Mingyang, et al.
Publicado: (2024)
por: Jiang, Mingyang, et al.
Publicado: (2024)
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
por: Jiang, Sicong, et al.
Publicado: (2024)
por: Jiang, Sicong, et al.
Publicado: (2024)
Adaptive Outer-Loop Control of Quadrotors via Reinforcement Learning
por: Saj, Vishnu, et al.
Publicado: (2026)
por: Saj, Vishnu, et al.
Publicado: (2026)
Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks
por: Fernandez, Franklin Cardeñoso, et al.
Publicado: (2021)
por: Fernandez, Franklin Cardeñoso, et al.
Publicado: (2021)
Neuromorphic Control of a Flapping-Wing Robot on Resource-Constrained Hardware
por: Filali, Rim El, et al.
Publicado: (2026)
por: Filali, Rim El, et al.
Publicado: (2026)
Co-Design Optimisation of Morphing Topology and Control of Winged Drones
por: Bergonti, Fabio, et al.
Publicado: (2023)
por: Bergonti, Fabio, et al.
Publicado: (2023)
ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning
por: Zhou, Zihan, et al.
Publicado: (2025)
por: Zhou, Zihan, et al.
Publicado: (2025)
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
por: Chen, Donghe, et al.
Publicado: (2025)
por: Chen, Donghe, et al.
Publicado: (2025)
Model-Based Reinforcement Learning for Control under Time-Varying Dynamics
por: Iten, Klemens, et al.
Publicado: (2026)
por: Iten, Klemens, et al.
Publicado: (2026)
Ejemplares similares
-
Characterisation and extension of a rigid body dynamics solver coupled with OpenFOAM for flight performance analysis of flapping-wing drones
por: Poletti, Romain, et al.
Publicado: (2025) -
On the unsteady aerodynamics of flapping wings under dynamic hovering kinematics
por: Poletti, Romain, et al.
Publicado: (2024) -
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
por: Xu, Botian, et al.
Publicado: (2023) -
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning
por: Dou, Jizhe, et al.
Publicado: (2024) -
MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation
por: Ramezani, Mahya, et al.
Publicado: (2025)