Autonomous Robotic Navigation for Endovascular Brain-Computer Interface Access
This arXiv preprint reports the first demonstration of autonomous robotic navigation through cerebral veins for endovascular brain-computer interface access. Two Soft Actor-Critic tasks were trained in simulation and tested on 250 simulated and five physical fluoroscopy-guided runs per condition; overall in vitro success was 70% (14/20), but hold-out Task A fell to 40–42% and the failure predictor lost calibration in physical tests. The work establishes feasibility for reducing operator burden in BCI delivery, though substantial validation remains before clinical use.