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A Tension Sensor Array for Cable-Driven Surgical Robots
Zhangxi Zhou1, Jianlin Yang1,2, Mark Runciman1
1The Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London W2 1PF, UK.
Sensors (Basel, Switzerland)
|May 25, 2024
Summary
This study introduces a miniature tension sensor array for endoscopic robots to accurately measure cable tension and reduce friction. This innovation enhances surgical robot control and enables precise force feedback for tactile procedures.
Area of Science:
- Robotics
- Surgical Technology
- Sensor Technology
Background:
- Tendon-sheath structures are vital for surgical robots due to their compact design and controllability.
- Accurate estimation of cable tension in long, flexible instruments is challenging due to complex frictional effects.
Purpose of the Study:
- To develop and integrate a miniature tension sensor array into the distal end of endoscopic cable-driven parallel robots.
- To mitigate friction between the tendon and sheath and improve cable tension sensing.
Main Methods:
- A novel miniature tension sensor array (16 mm outer diameter) was designed and mounted at the robot's distal end.
- A force compensation strategy was developed and validated on a single-cable platform before implementation on the robot.
- Performance was evaluated through palpation tests and blind trials with human participants.
Main Results:
- The developed sensor array demonstrated reduced frictional impact and enabled precise tension estimation.
- The robot achieved an average force estimation error of 0.173 N and a root-mean-square error of 0.213 N.
- Participants successfully differentiated silicone pads of varying hardness using the robot's haptic force feedback.
Conclusions:
- The miniature tension sensor array effectively addresses challenges in long-distance cable tension estimation for endoscopic robots.
- The integrated system enhances surgical instrument control and provides valuable force feedback for tactile sensing during procedures.
- This technology has the potential to improve the dexterity and safety of minimally invasive robotic surgery.

