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Nikola Fischer

4 accepted papers

2026

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

RA-L 2026

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 barriers. Reinforcement learning (RL) shows promise in autonomous endovascular navigation, but generalization across ‘lo

Cited by 1SourceScholar
2023

A Self-Assembling Extendable Tendon-Driven Continuum Robot With Variable Length

RA-L 2023

Tendon-driven continuum robots offer enhanced dexterity for intricate tasks within confined spaces. Nevertheless, when exclusively relying on remote access points, the entire fixed-length robotic system must be precisely repositioned to insert the robotic structure. Conversely, existing methods inco

Cited by 1SourceScholar
2022

Automated Linear and Non-Linear Path Planning for Neurosurgical Interventions

ICRA 2022poster

Recent advances in medical technology have produced a number of flexible instruments that are capable of traversing non-linear paths. This is of special interest in the field of neurosurgery. However, the non-rigid instruments have the disadvantage that path planning becomes increasingly difficult.…

Cited by 7SourceScholar