102 citations · 148 across the 13 of their papers we have counts for
13 papers
Stop Holding Your Breath: CT-Informed Gaussian Splatting for Dynamic Bronchoscopy
Andrea Dunn Beltran, Daniel Rho, Aarav Mehta +5
Bronchoscopic navigation relies on registering endoscopic video to a preoperative CT scan, but respiratory motion deforms the airway by 5-20 mm, creating CT-to-body divergence that…
Contact-aware Path Planning for Autonomous Neuroendovascular Navigation
Aabha Tamhankar, Ron Alterovitz, Ajit S. Puri +1
We propose a deterministic and time-efficient contact-aware path planner for neurovascular navigation. The algorithm leverages information from pre- and intra-operative images of t…
VIN-NBV: A View Introspection Network for Next-Best-View Selection
Noah Frahm, Dongxu Zhao, Andrea Dunn Beltran +4
Next Best View (NBV) algorithms aim to maximize 3D scene acquisition quality using minimal resources, e.g. number of acquisitions, time taken, or distance traversed. Prior methods…
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…
A Clinical Dataset for the Evaluation of Motion Planners in Medical Applications
Inbar Fried, Jason A. Akulian, Ron Alterovitz
The prospect of using autonomous robots to enhance the capabilities of physicians and enable novel procedures has led to considerable efforts in developing medical robots and incor…
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…
A Recurrent Neural Network Approach to Roll Estimation for Needle Steering
Maxwell Emerson, James M. Ferguson, Tayfun Efe Ertop +8
Steerable needles are a promising technology for delivering targeted therapies in the body in a minimally-invasive fashion, as they can curve around anatomical obstacles and hone i…
Robust Navigation of a Soft Growing Robot by Exploiting Contact with the Environment
Joseph D. Greer, Laura H. Blumenschein, Ron Alterovitz +2
Navigation and motion control of a robot to a destination are tasks that have historically been performed with the assumption that contact with the environment is harmful. This mak…
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…
Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning
Haonan Chen, Hao Tan, Alan Kuntz +2
Enabling robots to understand instructions provided via spoken natural language would facilitate interaction between robots and people in a variety of settings in homes and workpla…
Interleaving Optimization with Sampling-Based Motion Planning (IOS-MP): Combining Local Optimization with Global Exploration
Alan Kuntz, Chris Bowen, Ron Alterovitz
Computing globally optimal motion plans for a robot is challenging in part because it requires analyzing a robot's configuration space simultaneously from both a macroscopic viewpo…