4 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning
Feiyang Wu, Zhaoyuan Gu, Hanran Wu +2
Enabling bipedal walking robots to learn how to maneuver over highly uneven, dynamically changing terrains is challenging due to the complexity of robot dynamics and interacted env…