Cover Image

RAPTOR: A Foundation Policy for Quadrotor Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Eschmann, Jonas, Albani, Dario, Loianno, Giuseppe
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
by: Eschmann, Jonas, et al.
Published: (2023)

Learning to Fly in Seconds
by: Eschmann, Jonas, et al.
Published: (2023)

Data-Driven System Identification of Quadrotors Subject to Motor Delays
by: Eschmann, Jonas, et al.
Published: (2024)

Learning Long-Horizon Predictions for Quadrotor Dynamics
by: Rao, Pratyaksh Prabhav, et al.
Published: (2024)

RoVerFly: Robust and Versatile Implicit Hybrid Control of Quadrotor-Payload Systems
by: Kim, Mintae, et al.
Published: (2025)

Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC)
by: Mahran, Youssef, et al.
Published: (2025)

Foundation Policies with Hilbert Representations
by: Park, Seohong, et al.
Published: (2024)

HoLoArm: Deformable Arms for Collision-Tolerant Quadrotor Flight
by: Pham, Quang Ngoc, et al.
Published: (2026)

NOVA: Navigation via Object-Centric Visual Autonomy for High-Speed Target Tracking in Unstructured GPS-Denied Environments
by: Saviolo, Alessandro, et al.
Published: (2025)

Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach
by: Sheidlower, Isaac, et al.
Published: (2024)

cc-DRL: a Convex Combined Deep Reinforcement Learning Flight Control Design for a Morphing Quadrotor
by: Yang, Tao, et al.
Published: (2024)

A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics
by: Kojima, Takeshi, et al.
Published: (2025)

A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
by: Liu, Xinjie, et al.
Published: (2025)

A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control
by: Choi, Wonhyeok, et al.
Published: (2026)

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty
by: Brown, Hunter L., et al.
Published: (2026)

DISC: Decoupling Instruction from State-Conditioned Control via Policy Generation
by: Ren, Hanxiang, et al.
Published: (2026)

Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
by: Patel, Bhrij, et al.
Published: (2023)

RAPTOR: Ridge-Adaptive Logistic Probes
by: Gao, Ziqi, et al.
Published: (2026)

Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation
by: Li, Lanpei, et al.
Published: (2024)

Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior
by: Cai, Shizhe, et al.
Published: (2025)

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

The Power of Input: Benchmarking Zero-Shot Sim-To-Real Transfer of Reinforcement Learning Control Policies for Quadrotor Control
by: Dionigi, Alberto, et al.
Published: (2024)

An Interactive Agent Foundation Model
by: Durante, Zane, et al.
Published: (2024)

Drifting Field Policy: A One-Step Generative Policy via Wasserstein Gradient Flow
by: Koo, Juil, et al.
Published: (2026)

DexterityGen: Foundation Controller for Unprecedented Dexterity
by: Yin, Zhao-Heng, et al.
Published: (2025)

Fast Adaptation with Behavioral Foundation Models
by: Sikchi, Harshit, et al.
Published: (2025)

Online Foundation Model Selection in Robotics
by: Li, Po-han, et al.
Published: (2024)

Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
by: Yuan, Xiu, et al.
Published: (2024)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2024)

Evolutionary Policy Optimization
by: Wang, Jianren, et al.
Published: (2025)

Policy-Guided Diffusion
by: Jackson, Matthew Thomas, et al.
Published: (2024)

Absolute Policy Optimization
by: Zhao, Weiye, et al.
Published: (2023)

Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
by: Shitanda, Naoki, et al.
Published: (2026)

Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies
by: Huang, Haojie, et al.
Published: (2024)

A Taxonomy for Evaluating Generalist Robot Manipulation Policies
by: Gao, Jensen, et al.
Published: (2025)

Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence
by: Zhang, Yi, et al.
Published: (2025)

ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation
by: Lu, Dekun, et al.
Published: (2025)

Embodied Red Teaming for Auditing Robotic Foundation Models
by: Karnik, Sathwik, et al.
Published: (2024)

Vision-Language Foundation Models as Effective Robot Imitators
by: Li, Xinghang, et al.
Published: (2023)

Flattening Hierarchies with Policy Bootstrapping
by: Zhou, John L., et al.
Published: (2025)