Robotic Surgery Tissue Identification Using Force-Displacement Sensors

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Solution Overview

Problem

Robotic surgery lacks tactile feedback, impairing surgeons' ability to characterize tissue location and extent, particularly for structures like tumors and lymph nodes, due to the loss of sense of touch.

Innovation Solution

A sensor device integrated into surgical instruments, utilizing force and displacement sensors, such as Fiber Bragg Gratings, to quantify tissue mechanical properties and provide real-time feedback, enabling accurate tissue identification and characterization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If robotic surgery is used to provide minimally invasive access with increased range of motion, then surgical precision and dexterity are improved, but tactile feedback and sense of touch are lost

Engineering Contradiction:
Improvesurgical dexterityVSAvoidtactile feedback
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The patent implements tactile feedback by integrating force sensors and displacement sensors into the robotic end effector. The force sensor measures forces applied to tissue while the displacement sensor measures tissue deformation, providing real-time tactile information back to the surgeon through the haptic interface, thus resolving the loss of tactile feedback in robotic surgery

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent introduces sensorized end effectors as intermediaries between the robotic manipulator and tissue. These end effectors equipped with force and displacement sensors act as mediators that convert mechanical tissue interactions into measurable signals, enabling the surgeon to perceive tactile information that would otherwise be lost

Inventive Principle:
Principle #24Intermediary (Mediator)

2Stability of the object's composition

If robotic instruments with rigid structure are used to provide stable manipulation, then structural stability is improved, but ability to characterize tissue location and extent is reduced

Engineering Contradiction:
Improveinstrument stabilityVSAvoidtissue characterization accuracy
Core Design Contradiction:
Stability of the object's compositionVSMeasurement precision

Solution Approach 1:

The patent replaces direct mechanical tactile perception with sensor-based measurement systems. Force sensors and displacement sensors substitute for the surgeon's hand in characterizing tissue properties, providing quantitative mechanical property data that enables precise tissue identification and characterization while maintaining instrument stability

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If sensor device is integrated into robotic end effector to provide tactile feedback, then tissue identification accuracy is improved, but device complexity increases

Engineering Contradiction:
Improvetissue identification accuracyVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent integrates force and displacement sensors into the robotic end effector, enabling a single device to perform both manipulation and tissue characterization functions. This multi-functionality allows the end effector to serve dual purposes: mechanical manipulation and tactile feedback, thereby improving tissue identification accuracy without requiring separate specialized devices

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The sensor device enhances tissue identification accuracy beyond human capabilities, providing rapid and reliable mechanical property feedback for improved surgical precision and efficiency.

Implementation Method 1

The force sensor comprises one or more fiber Bragg grating (FBG) sensors

Methodology Applied
Scientific EffectFiber Bragg Grating:

Implementation Method 2

The force sensor comprises one or more piezoelectric sensors

Methodology Applied
Scientific EffectPiezoelectric effect: Piezoelectric Effect

Implementation Method 3

The force sensor comprises one or more capacitive sensors

Methodology Applied
Scientific EffectCapacitive sensing: Capacitance

Implementation Method 4

The displacement sensor comprises an angle encoder

Methodology Applied
Scientific EffectAngle encoding:

Implementation Method 5

The displacement sensor comprises a stereoscope

Methodology Applied
Scientific EffectStereoscopy:

Data Source

PatentUS20250255682A1Device, system, and method for tissue identification during robotic surgery
Publication Date: 2025.08.14 RGT UNIV OF CALIFORNIA
  • US20250255682A1 patent drawing
  • US20250255682A1 patent drawing
  • US20250255682A1 patent drawing

AI summary

A device for tissue mechanical property detection during robotic surgery, comprising a sensor frame having proximal and distal ends and a length therebetween, a force sensor disposed along the length of the sensor frame, and a displacement sensor configured to measure a position of the sensor frame. Related systems and methods are also disclosed.