Remote Stroke Intervention Robotics
Telerobotic guidewires, vascular path planning, and learning data from a University of Minnesota–Medtronic collaboration.
From remote control to navigation support
I co-authored three papers from the University of Minnesota’s collaboration with Medtronic on tools for remote stroke treatment. They address different pieces of the same problem: a small telerobotic system for guidewire control, a way to turn patient-specific vascular geometry into a route-planning graph, and a 2D dataset for studying learning-based navigation. The Minnesota Robotics Institute overview describes the broader collaboration.
These are research and feasibility results. They do not demonstrate autonomous treatment or a clinically deployed system.
Telerobotic guidewire prototype
2026 Design of Medical Devices papers
- Towards Remote Thrombectomy with Telerobotically-Driven Guidewires reports a two-degree-of-freedom benchtop telerobotic platform and latency measurements across local, residential, and cellular connections.
- Vasculature Discretization and Search Space Simplification for Automating Catheter Navigation converts 3D vascular models into reduced graph roadmaps for path planning. Its reported timing is a computational result, not a clinical navigation trial.
- StrokeNav2D: A Skeleton Based Dataset for Cerebrovascular Imitation Learning presents 2D navigation samples derived from CT angiography for imitation-learning research. Its simplified geometry is a testbed, not a validated autonomous intervention policy.
My role was as a co-author on these team papers. The author lists and full methods are available at the linked ASME records.