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Mengyu Fu

9 accepted papers

2022

A Metric for Finding Robust Start Positions for Medical Steerable Needle Automation

IROS 2022poster

Steerable needles are medical devices with the ability to follow curvilinear paths to reach targets while circumventing obstacles. In the deployment process, a human operator typically places the steerable needle at its start position on a tissue surface and then hands off control to the automation…

Cited by 5SourceScholar
2022

Resolution-Optimal Motion Planning for Steerable Needles

ICRA 2022poster

Medical steerable needles can follow 3D curvilinear trajectories inside body tissue, enabling them to move around critical anatomical structures and precisely reach clinically significant targets in a minimally invasive way. Automating needle steering, with motion planning as a key component, has th…

Cited by 13SourcecodeScholar
2021

Backward Planning for a Multi-Stage Steerable Needle Lung Robot

RA-L 2021

Lung cancer is one of the deadliest types of cancer, and early diagnosis is crucial for successful treatment. Definitively diagnosing lung cancer typically requires biopsy, but current approaches either carry a high procedural risk for the patient or are incapable of reaching many sites of clinical

Cited by 30SourceScholar
2021

Computationally-Efficient Roadmap-based Inspection Planning via Incremental Lazy Search

ICRA 2021poster

The inspection-planning problem calls for computing motions for a robot that allow it to inspect a set of points of interest (POIs) while considering plan quality (e.g., plan length). This problem has applications across many domains where robots can help with inspection, including infrastructure ma…

Cited by 24SourcecodeScholar
2021

Design Considerations for a Steerable Needle Robot to Maximize Reachable Lung Volume

ICRA 2021poster

Steerable needles that are able to follow curvilinear trajectories and steer around anatomical obstacles are a promising solution for many interventional procedures. In the lung, these needles can be deployed from the tip of a conventional bronchoscope to reach lung lesions for diagnosis. The reach…

Cited by 8SourceScholar
2019

Planning High-Quality Motions for Concentric Tube Robots in Point Clouds via Parallel Sampling and optimization

IROS 2019poster

We present a method that plans motions for a concentric tube robot to automatically reach surgical targets inside the body while avoiding obstacles, where the patient's anatomy is represented by point clouds. Point clouds can be generated intra-operatively via endoscopic instruments, enabling the sy…

Cited by 25SourceScholar
2019

Toward Asymptotically-Optimal Inspection Planning Via Efficient Near-Optimal Graph Search

RSS 2019poster

Inspection planning, the task of planning motions that allow a robot to inspect a set of points of interest, has applications in domains such as industrial, field, and medical robotics. Inspection planning can be computationally challenging, as the search space over motion plans that inspect the poi…

Cited by 44SourcePDFScholar
2018

Safe Motion Planning for Steerable Needles Using Cost Maps Automatically Extracted from Pulmonary Images

IROS 2018poster

Lung cancer is the deadliest form of cancer, and early diagnosis is critical to favorable survival rates. Definitive diagnosis of lung cancer typically requires needle biopsy. Common lung nodule biopsy approaches either carry significant risk or are incapable of accessing large regions of the lung,…

Cited by 40SourceScholar