16 citations · 36 across the 6 of their papers we have counts for
6 papers
Serendipitous Recommendation with Multimodal LLM
Haoting Wang, Jianling Wang, Hao Li +9
Conventional recommendation systems succeed in identifying relevant content but often fail to provide users with surprising or novel items. Multimodal Large Language Models (MLLMs)…
Autonomous Medical Needle Steering In Vivo
Alan Kuntz, Maxwell Emerson, Tayfun Efe Ertop +10
The use of needles to access sites within organs is fundamental to many interventional medical procedures both for diagnosis and treatment. Safe and accurate navigation of a needle…
Resolution-Optimal Motion Planning for Steerable Needles
Mengyu Fu, Kiril Solovey, Oren Salzman +1
Medical steerable needles can follow 3D curvilinear trajectories inside body tissue, enabling them to move around critical anatomical structures and precisely reach clinically sign…
Toward Certifiable Motion Planning for Medical Steerable Needles
Mengyu Fu, Oren Salzman, Ron Alterovitz
Medical steerable needles can move along 3D curvilinear trajectories to avoid anatomical obstacles and reach clinically significant targets inside the human body. Automating steera…
Computationally-Efficient Roadmap-based Inspection Planning via Incremental Lazy Search
Mengyu Fu, Oren Salzman, Ron Alterovitz
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 lengt…
Toward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search
Mengyu Fu, Alan Kuntz, Oren Salzman +1
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 robo…