Cover Image

Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Robertshaw, Harry, Jackson, Benjamin, Wang, Jiaheng, Sadati, Hadi, Karstensen, Lennart, Granados, Alejandro, Booth, Thomas C
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward AI Autonomous Navigation for Mechanical Thrombectomy using Hierarchical Modular Multi-agent Reinforcement Learning (HM-MARL)
by: Robertshaw, Harry, et al.
Published: (2026)

Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review
by: Robertshaw, Harry, et al.
Published: (2024)

World Model for AI Autonomous Navigation in Mechanical Thrombectomy
by: Robertshaw, Harry, et al.
Published: (2025)

Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning
by: Robertshaw, Harry, et al.
Published: (2024)

Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions
by: Karstensen, Lennart, et al.
Published: (2024)

A Position Statement on Endovascular Models and Effectiveness Metrics for Mechanical Thrombectomy Navigation, on behalf of the Stakeholder Taskforce for AI-assisted Robotic Thrombectomy (START)
by: Robertshaw, Harry, et al.
Published: (2026)

Toward Safe Autonomous Robotic Endovascular Interventions using World Models
by: Robertshaw, Harry, et al.
Published: (2026)

Towards Real-Time Autonomous Navigation: Transformer-Based Catheter Tip Tracking in Fluoroscopy
by: Robertshaw, Harry, et al.
Published: (2026)

Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled through Predictive Modeling and Reinforcement Learning
by: Menges, Daniel, et al.
Published: (2024)

Digital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation
by: Menges, Daniel, et al.
Published: (2024)

DARIL: When Imitation Learning outperforms Reinforcement Learning in Surgical Action Planning
by: Boels, Maxence, et al.
Published: (2025)

Safe Motion Planning and Control Using Predictive and Adaptive Barrier Methods for Autonomous Surface Vessels
by: Gonzalez-Garcia, Alejandro, et al.
Published: (2025)

SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation
by: Doula, Achref, et al.
Published: (2025)

Reinforcement Learning for Active Perception in Autonomous Navigation
by: Malczyk, Grzegorz, et al.
Published: (2026)

Ensuring Safe Autonomy: Navigating the Future of Autonomous Vehicles
by: Wolf, Patrick
Published: (2024)

Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
by: Feng, Meng, et al.
Published: (2025)

Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation
by: Dawood, Murad, et al.
Published: (2023)

Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous Driving
by: Hu, Dong, et al.
Published: (2025)

Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation
by: Gao, Jianqi, et al.
Published: (2025)

Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters
by: Vaaler, Aksel, et al.
Published: (2023)

Reinforcement Learning for Autonomous Point-to-Point UAV Navigation
by: Oyinlola, Salim, et al.
Published: (2025)

Adaptive Reinforcement and Model Predictive Control Switching for Safe Human-Robot Cooperative Navigation
by: Liu, Ning, et al.
Published: (2026)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)

Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning
by: Xu, Letian, et al.
Published: (2024)

Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
by: Lin, Xi, et al.
Published: (2024)

A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks
by: Dawood, Murad, et al.
Published: (2024)

Learning Autonomous Docking Operation of Fully Actuated Autonomous Surface Vessel from Expert data
by: Vijayakumar, Akash, et al.
Published: (2024)

Research on Autonomous Robots Navigation based on Reinforcement Learning
by: Wang, Zixiang, et al.
Published: (2024)

Intelligent Autonomy: A Novel Hybrid Navigation System for Autonomous Load‐Haul‐Dump Vehicles
by: Yuanjian Jiang, et al.
Published: (2026)

Enabling High-Curvature Navigation in Eversion Robots through Buckle-Inducing Constrictive Bands
by: Suulker, Cem, et al.
Published: (2026)

SIGN: Safety-Aware Image-Goal Navigation for Autonomous Drones via Reinforcement Learning
by: Yan, Zichen, et al.
Published: (2025)

When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning
by: Honda, Kohei, et al.
Published: (2023)

Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
by: Taheri, Hamid, et al.
Published: (2024)

Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning
by: Flögel, Daniel, et al.
Published: (2024)

Anatomical Landmark-Guided Deep Reinforcement Learning for Autonomous Gastric Navigation
by: Wu, Haoxuan, et al.
Published: (2026)

Digital Twin Supervised Reinforcement Learning Framework for Autonomous Underwater Navigation
by: Mari, Zamirddine, et al.
Published: (2025)

Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation
by: Marzari, Luca, et al.
Published: (2025)

Certificated Actor-Critic: Hierarchical Reinforcement Learning with Control Barrier Functions for Safe Navigation
by: Xie, Junjun, et al.
Published: (2025)

Safe Navigation for Robotic Digestive Endoscopy via Human Intervention-based Reinforcement Learning
by: Tan, Min, et al.
Published: (2024)

Safe-VLN: Collision Avoidance for Vision-and-Language Navigation of Autonomous Robots Operating in Continuous Environments
by: Yue, Lu, et al.
Published: (2023)