Multimodal Feedback Sensing System for Endovascular Surgery Robot Shows Promise

Strategic Insights -

A new study on Robotics has discovered a promising alternative for medical cures through the use of robot-assisted endovascular surgery (RES). The research, led by Shuxiang Guo of South University in Guangdong, People's Republic of China, has developed a multimodal feedback sensing system integrated with four kinds of feedback (temperature, vibration, haptic, and vision) to provide immersive feedback sensing to surgeons and improve the transparency and safety for operations.

Key Takeaways:

  • The research was funded by the Shenzhen "Medical Engineering Integration" Special Support Program Project and the High Level of Special Funds from Southern University of Science and Technology.
  • The multimodal feedback sensing system was designed to provide continuous real-time feedback sensing (thermal feedback and vibrating feedback) and measure the temperature of thermal feedback.
  • The haptic interface can offer force feedback, while the monitor window provides visual feedback.
  • A multilevel control strategy was proposed to indicate different surgical conditions, and the performance evaluation for three feedback and insertions was carried out to verify the feasibility and repeatability.
  • The research demonstrated the feasibility and repeatability of the proposed multimodal feedback sensing system, achieving fast response, immersive feedback, and large repetition capacity.
  • The study concluded that the inspiration of multimodal feedback sensing could lead to the combination of more feedback stimuli and exploration of newly immersive/spatial feedback sensing for leader-follower robotics.

Statistics:

  • The research was published in the Ieee Sensors Journal, Volume 25, Issue 16, pages 30998-31009.
  • The study was conducted by a team of five subjects, with results demonstrating the feasibility and repeatability of the proposed multimodal feedback sensing system.
  • The system was designed to provide immersive feedback sensing to surgeons, improving the transparency and safety for operations.
  • The research has the potential to revolutionize the field of endovascular surgery.

Sources:

  • A Multimodal Feedback Sensing System for an Endovascular Surgery Robot. Ieee Sensors Journal, 2025;25(16):30998-31009.
  • NewsRx. New Findings on Robotics from South University Summarized (A Multimodal Feedback Sensing System for an Endovascular Surgery Robot). Health & Medicine Week. October 31, 2025; p 942.