Robotic Surgical Arm Sensing for Precise Tool Activation

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Solution Overview

Problem

Robotic surgical systems face challenges in efficiently and accurately controlling robotic arms during surgical procedures, particularly in coordinating forces to avoid tissue trauma and ensuring precise tool activation based on real-time tissue contact and fluid conditions.

Innovation Solution

The implementation of a robotic surgical system with sensors and a control unit that analyze forces applied by each robotic arm and automatically activate surgical tools based on detected conditions, such as tissue contact and fluid presence, to prevent trauma and optimize tool functionality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If robotic arms are controlled to apply forces during surgical procedures, then tool activation precision is improved, but risk of tissue trauma increases

Engineering Contradiction:
Improvetool activation precisionVSAvoidtissue trauma
Core Design Contradiction:
Manufacturing precisionVSObject-affected harmful factors

Solution Approach 1:

The control circuit receives feedback signals from sensors that detect tissue contact and fluid presence, automatically adjusting robotic arm forces and tool activation timing to achieve precise tool activation while preventing tissue trauma through real-time force modulation

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary detection of tissue contact and fluid conditions before activating surgical tools, allowing the control circuit to pre-adjust robotic arm forces to optimal levels that enable precise tool activation without exceeding tissue tolerance thresholds

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If multiple sensors are implemented to detect tissue contact and fluid conditions, then control accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvecontrol accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Multiple sensors detecting different parameters (tissue contact, fluid presence) are merged into a unified control circuit that processes all sensor inputs together, achieving high control accuracy through integrated multi-parameter analysis while avoiding the complexity of separate independent control systems

Inventive Principle:
Principle #5Merging (Combining)

3Productivity

If automatic tool activation based on real-time sensing is implemented, then surgical efficiency is improved, but control system complexity increases

Engineering Contradiction:
Improvesurgical efficiencyVSAvoidcontrol system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The control circuit automatically activates surgical tools based on real-time sensor detections without requiring manual intervention, enabling the system to self-regulate tool activation timing and forces based on detected tissue contact and fluid conditions, thereby improving surgical efficiency while the automated nature reduces the need for complex manual control interfaces

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11376082B2Robotic surgical system with local sensing of functional parameters based on measurements of multiple physical inputs
Publication Date: 2022.07.05 CILAG GMBH INTERNATIONAL
  • US11376082B2 patent drawing
  • US11376082B2 patent drawing
  • US11376082B2 patent drawing

AI summary

A system for controlling a robotic arm is disclosed. The system includes a robotic arm including a surgical tool, a tool driver, and at least two sensors disposed on the robotic arm to redundantly monitor a status of the robotic arm and to verify an operational parameter of the surgical robotic tool. A central control circuit is configured to measure a first physical property of the robotic arm based on readings from the first sensor, measure a second physical property of the robotic arm based on readings from the second sensor, and determine a status of the robotic arm based on the first and second measurements of the first and second physical properties of the robotic arm.