Imagen de Portada

Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Guoqiang, Hu, Cheng, Weng, Wangjia, Li, Zhouheng, Fu, Yonghao, Xie, Lei, Su, Hongye
Formato:	Preprint
Publicado:	2024
Materias:	Robotics Artificial Intelligence Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Reduce Lap Time for Autonomous Racing with Curvature-Integrated MPCC Local Trajectory Planning Method
por: Li, Zhouheng, et al.
Publicado: (2025)

A Rapid Iterative Trajectory Planning Method for Automated Parking through Differential Flatness
por: Li, Zhouheng, et al.
Publicado: (2025)

A Data-Driven Aggressive Autonomous Racing Framework Utilizing Local Trajectory Planning with Velocity Prediction
por: Li, Zhouheng, et al.
Publicado: (2024)

A Learning-based Planning and Control Framework for Inertia Drift Vehicles
por: Zhou, Bei, et al.
Publicado: (2025)

Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles
por: Zhou, Bei, et al.
Publicado: (2025)

Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input
por: Fu, Yonghao, et al.
Publicado: (2025)

An Overtaking Trajectory Planning Framework Based on Spatio-temporal Topology and Reachable Set Analysis Ensuring Time Efficiency
por: Mao, Wule, et al.
Publicado: (2024)

Rapid and Safe Trajectory Planning over Diverse Scenes through Diffusion Composition
por: Mao, Wule, et al.
Publicado: (2025)

Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
por: Tonini, Stefano, et al.
Publicado: (2026)

GP-enhanced Autonomous Drifting Framework using ADMM-based iLQR
por: Xie, Yangyang, et al.
Publicado: (2025)

MCTR: Midpoint Corrected Triangulation for Autonomous Racing via Digital Twin Simulation in CARLA
por: Ye, Junhao, et al.
Publicado: (2025)

Robust Spatiotemporal Motion Planning for Multi-Agent Autonomous Racing via Topological Gap Identification and Accelerated MPC
por: Zhang, Mingyi, et al.
Publicado: (2026)

Flexible Active Safety Motion Control for Robotic Obstacle Avoidance: A CBF-Guided MPC Approach
por: Liu, Jinhao, et al.
Publicado: (2024)

Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles
por: Floch, Kristóf, et al.
Publicado: (2025)

ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning
por: Rickenbach, Rahel, et al.
Publicado: (2025)

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

DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
por: Tao, Ran, et al.
Publicado: (2023)

Autonomous Drifting Based on Maximal Safety Probability Learning
por: Hoshino, Hikaru, et al.
Publicado: (2024)

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

Meta-Learning Augmented MPC for Disturbance-Aware Motion Planning and Control of Quadrotors
por: Lapandić, Dženan, et al.
Publicado: (2024)

Tiny Learning-Based MPC for Multirotors: Solver-Aware Learning for Efficient Embedded Predictive Control
por: Akbari, Babak, et al.
Publicado: (2024)

Learning-Based Design of Off-Policy Gaussian Controllers: Integrating Model Predictive Control and Gaussian Process Regression
por: Tekumatla, Shiva Kumar, et al.
Publicado: (2024)

Learning Based MPC for Autonomous Driving Using a Low Dimensional Residual Model
por: Li, Yaoyu, et al.
Publicado: (2024)

MPC-Guided Safe Reinforcement Learning and Lipschitz-Based Filtering for Structured Nonlinear Systems
por: Kostelac, Patrick, et al.
Publicado: (2025)

ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates
por: Puthumanaillam, Gokul, et al.
Publicado: (2024)

Conformal Prediction-Based MPC for Stochastic Linear Systems
por: Vogel, Lukas, et al.
Publicado: (2025)

MPC as a Copilot: A Predictive Filter Framework with Safety and Stability Guarantees
por: Yan, Yunda, et al.
Publicado: (2026)

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

Fast Online Adaptive Neural MPC via Meta-Learning
por: Mei, Yu, et al.
Publicado: (2025)

Velocity Obstacle for Polytopic Collision Avoidance for Distributed Multi-robot Systems
por: Huang, Jihao, et al.
Publicado: (2023)

Sequential Autonomous Exploration-Based Precise Mapping for Mobile Robots through Stepwise and Consistent Motions
por: Zhang, Muhua, et al.
Publicado: (2025)

Nipping the Drift in the Bud: Retrospective Rectification for Robust Vision-Language Navigation
por: He, Gang, et al.
Publicado: (2026)

ES-HPC-MPC: Exponentially Stable Hybrid Perception Constrained MPC for Quadrotor with Suspended Payloads
por: Recalde, Luis F., et al.
Publicado: (2025)

Chance-Constrained Sampling-Based MPC for Collision Avoidance in Uncertain Dynamic Environments
por: Mohamed, Ihab S., et al.
Publicado: (2025)

Optimizing Exploration with a New Uncertainty Framework for Active SLAM Systems
por: Sansoni, Sebastian, et al.
Publicado: (2025)

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

MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
por: Lu, Yiwen, et al.
Publicado: (2023)

Data-Driven Sampling Based Stochastic MPC for Skid-Steer Mobile Robot Navigation
por: Trivedi, Ananya, et al.
Publicado: (2024)

Mixed-Integer MPC-Based Motion Planning Using Hybrid Zonotopes with Tight Relaxations
por: Robbins, Joshua A., et al.
Publicado: (2024)

Gaussian Process-Based Active Exploration Strategies in Vision and Touch
por: Choi, Ho Jin, et al.
Publicado: (2025)