25 citations · 45 across the 13 of their papers we have counts for
14 papers
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
World Model for AI Autonomous Navigation in Mechanical Thrombectomy
Harry Robertshaw, Han-Ru Wu, Alejandro Granados +1
Autonomous navigation for mechanical thrombectomy (MT) remains a critical challenge due to the complexity of vascular anatomy and the need for precise, real-time decision-making. R…
Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy
Harry Robertshaw, Benjamin Jackson, Jiaheng Wang +4
Purpose: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure times, minimizing radiation exposure, and enhancing patient safety. However, current…
Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions
Lennart Karstensen, Harry Robertshaw, Johannes Hatzl +8
Endovascular interventions are a life-saving treatment for many diseases, yet suffer from drawbacks such as radiation exposure and potential scarcity of proficient physicians. Robo…
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning
Harry Robertshaw, Lennart Karstensen, Benjamin Jackson +2
Purpose: Autonomous navigation of catheters and guidewires can enhance endovascular surgery safety and efficacy, reducing procedure times and operator radiation exposure. Integrati…