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20242026
most citedAutonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning

25 citations · 45 across the 13 of their papers we have counts for

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Showing 2026Show all

10 papers · 1 filter

cs.RO2026

Autonomous Robotic Navigation for Endovascular Brain-Computer Interface Access

Harry Robertshaw, Weijie Qi, Nikola Fischer +3

Endovascular brain-computer interfaces (BCIs) avoid craniotomy but require precise device delivery through anatomically variable cerebral veins. This work presents the first demons…

cs.RO2026

Progressive Experience Fusion for Multi-Task World Model Control in Endovascular Navigation

Harry Robertshaw, Maxence Boels, Nikola Fischer +4

Autonomous endovascular navigation could support the delivery of mechanical thrombectomy to underserved areas, but controllers must navigate long, multi-stage paths across varying…

cs.RO2026

Eversion-based robots can enable safe access,steering and endoscopic imaging within the spinal subarachnoid space

Zicong Wu, Panagiotis Kalozoumis, S. M. Hadi Sadati +8

Safe navigation within the spinal subarachnoid space is constrained by its narrow, compliant, and delicate anatomy. Conventional catheters and continuum robots rely on proximal pus…

cs.RO2026

Vascular Geometry Characterization for AI-Based Endovascular Navigation

Han-Ru Wu, Harry Robertshaw, Lisa Dwyer-Joyce +2

Mechanical thrombectomy (MT) is a time-critical intervention for acute ischemic stroke; however, access remains limited due to a shortage of neuroradiologists and specialized cente…

cs.RO2026

Manual, Joystick, or Haptic Control? An In Vitro Comparison of Navigation Strategies for Robotic Interventional Neuroradiology Procedures

Benjamin Jackson, Nikola Fischer, Harry Robershaw +16

Objective: To evaluate robotic controller interfaces for interventional neuroradiology procedures in-vitro incorporating a force-sensing platform to assess safety. Methods: A custo…

cs.RO2026

Remote Teleoperation of Endovascular Intervention Robots: A Systematic Review

Xingyu Chen, Yinchao Yang, Nikola Fischer +5

Remote robotic-assisted endovascular intervention offers a promising approach to reduce clinician radiation exposure and physical strain, while extending specialized vascular care…

cs.CV2026

Towards Real-Time Autonomous Navigation: Transformer-Based Catheter Tip Tracking in Fluoroscopy

Harry Robertshaw, Yanghe Hao, Weiyuan Deng +6

Purpose: Mechanical thrombectomy (MT) improves stroke outcomes, but is limited by a lack of local treatment access. Widespread distribution of reinforcement learning (RL)-based rob…

cs.RO2026★ 1 cited

Toward Safe Autonomous Robotic Endovascular Interventions using World Models

Harry Robertshaw, Nikola Fischer, Han-Ru Wu +6

Autonomous mechanical thrombectomy (MT) presents substantial challenges due to highly variable vascular geometries and the requirements for accurate, real-time control. While reinf…

cs.RO2026★ 1 cited

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)

Harry Robertshaw, Anna Barnes, Phil Blakelock +20

While we are making progress in overcoming infectious diseases and cancer; one of the major medical challenges of the mid-21st century will be the rising prevalence of stroke. Larg…

cs.RO2026★ 1 cited

Toward AI Autonomous Navigation for Mechanical Thrombectomy using Hierarchical Modular Multi-agent Reinforcement Learning (HM-MARL)

Harry Robertshaw, Nikola Fischer, Lennart Karstensen +6

Mechanical thrombectomy (MT) is typically the optimal treatment for acute ischemic stroke involving large vessel occlusions, but access is limited due to geographic and logistical…