Surgical Robot Challenge 2024 Winners
We are pleased to announce the winners of our annual Surgical Robot Challenge. This international competition attracts some of the leading surgical robotics groups from around the world to showcase innovative new ideas across a range of surgical robot platforms.
Applications were not restricted to a particular focus area, but demonstrated innovation, application and design in surgical robotics.
Best Application Winner
‘A Human-AI Collaborative Robotic Endoscope Holder System’
Institute of Medical Robotics and Intelligent Systems Institution , Tianjin University
Team: Zifan Li , Yuan Gao , Bo Guan , Jianchang Zhao
Best Innovation Winner
‘Intelligent Vision-based Robotic-Assisted Vitreoretinal Surgery System’
National University of Singapore
Team: Wenjun Lin, Wending Zhang, Ziwei Zhang, Yongjun Tan, Chin-Boon Chng, Yan Hu, Jiang Liu, Chee-Kong Chui
Best Design Winner
‘Robot-assisted flexible endoscope remote and autonomous research‘
IMRIS, Tianjin University
Team: Jingsheng Xu, Jianing Yan, Bo Guan, Jianchang Zhao
Surgical Robot Challenge 2025
Applications will be open for the 2025 challenge in November 2024.
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You can view these entries and previous winners and finalists on our YouTube channel here.
Our 2024 Finalists
Comparative Analysis of Interactive Modalities for Intuitive Endovascular Interventions
Robot Assisted Surgery Group, KU Leuven
Design and Control of a Hand-Held Concentric-Tube Robot for Percutaneous Nephrolithotomy
CSTAR, Western University
Development of Surgical Robot for Minimally Invasive Spine Surgery
Malone Center and LCSR, John’s Hopkins University
Design and Research of Rectoscope for Early Cancer Screening
Center for Healthcare Robotics, Korea Institute of Science and Technology
Endoluminal Robotic Skills Simulator for Endoluminal Operating System (EOS)
Brigham and Women’s Hospital, Harvard University
Nanothermometry-guided robotic minimally invasive laser tissue soldering
The Ingenuity Lab, ETH Zurich/Empa/Balgrist University Hospital
Reinventing Catheter Steering by Soft Robotics: Tele-Operated Autonomous Robotic Thrombectomy in
Acute Stroke (ART)
RViM lab, King’s College London
Respiratory Motion Compensation and Teleoperated Needle Insertion for X-Ray Guided Procedures
Robotics and Mechatronics, University of Twente
Soft tissue stiffness characterisation: A soft, compliance-controllable stiffness sensor
Soft Haptics and Robotics, University College London