Kim Mathiassen

About

Kim Mathiassen is a leading researcher in medical robotics, specializing in autonomous systems for ultrasound-guided interventions and minimally invasive surgery. His work bridges the gap between commercial robotic platforms and clinical applications, with a focus on enhancing precision and safety in procedures like needle insertion and biopsy. His most cited paper, "An Ultrasound Robotic System Using the Commercial Robot UR5" (2016, 154 citations), pioneered the use of accessible robots for autonomous ultrasound examinations, demonstrating how off-the-shelf hardware can be repurposed for healthcare. Mathiassen also developed robust real-time needle tracking algorithms using statistical filtering (2016, 41 citations) and biopsy needle tip estimation in 2D ultrasound (2013, 21 citations), enabling accurate localization during robotic procedures. His contributions extend to cognitive robotic systems for simple surgical tasks (2015, 53 citations) and autonomous biopsy systems (2022), where he designed and controlled robots for full-core biopsy instruments. Notably, his recent work on reinforcement learning-based switching controllers for milliscale robots (2023) and teleoperated robotic echocardiography (2023) showcases his versatility in both autonomous navigation and remote healthcare delivery. With over 300 total citations, Mathiassen’s research is shaping the future of robotic-assisted medicine, making procedures safer, faster, and more accessible.

Research Focus

Key Achievements

Top Papers

1. 1
   An Ultrasound Robotic System Using the Commercial Robot UR5

   154 citations · 2016
2. 2
   Development of a Cognitive Robotic System for Simple Surgical Tasks

   53 citations · 2015
3. 3
   Robust Real-Time Needle Tracking in 2-D Ultrasound Images Using Statistical Filtering

   41 citations · 2016
4. 4
   Real-time biopsy needle tip estimation in 2D ultrasound images

   21 citations · 2013
5. 5
   Towards Autonomous Robotic Biopsy—Design, Modeling and Control of a Robot for Needle Insertion of a Commercial Full Core Biopsy Instrument

   9 citations · 2022
6. 6
   Visual servoing of a medical ultrasound probe for needle insertion

   9 citations · 2016
7. 7
   Reinforcement Learning-Based Switching Controller for a Milliscale Robot in a Constrained Environment

   8 citations · 2023
8. 8
   Design, Kinematic Modeling, and Validation of a Robotic-Assisted Transesophageal Echocardiography System

   5 citations · 2022
9. 9
   Feasibility of teleoperated robotic echocardiography – A pilot study

   4 citations · 2023
10. 10
    Making the Milrem Themis UGV ready for autonomous operations

    4 citations · 2021

Key Collaborators

Contact & Links