collaborators

10 papers

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…