Sample Manipulator Force Estimation via Optical Displacement

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing methods for estimating force in sample manipulation are either bulky and intrusive due to the use of sensors or computationally intensive and indirect, making them unsuitable for real-time and precise force regulation in biomedical applications.

Innovation Solution

A method that generates a list of displacements for pre-defined objects, estimates second displacements on the manipulator, compares them to find an optimum displacement, and computes the corresponding force, allowing for efficient regulation of the manipulator through geometric and material modifications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If force sensors are introduced on the manipulator to estimate force, then measurement precision is improved, but device complexity and bulkiness increase

Engineering Contradiction:
Improveforce estimation accuracyVSAvoidapparatus bulkiness
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces mechanical force sensors with an optical measurement system. Visual methods using cameras capture displacement data of the manipulator, which is then processed through computational algorithms to estimate forces. This substitution eliminates the need for physical force sensors on the manipulator, reducing device complexity and bulkiness while maintaining measurement capability.

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

Solution Approach 2:

The patent introduces an intermediary computational model that acts as a mediator between visual displacement measurements and force estimation. Instead of directly measuring force with sensors, the system uses displacement data as an intermediary parameter and applies mechanical models to infer force values, thereby avoiding direct force measurement hardware.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If visual methods are used to estimate force through displacement measurement, then device complexity is reduced, but computational intensity increases making real-time estimation difficult

Engineering Contradiction:
Improvemeasurement system simplicityVSAvoidreal-time estimation capability
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent performs preliminary actions by pre-calculating and storing compliance matrices and their inverses for different manipulator configurations before actual force estimation is needed. These pre-computed values are stored in memory and quickly retrieved during real-time operation, avoiding computationally intensive matrix inversions during the actual measurement process and enabling real-time performance.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements a dynamic measurement strategy where the measurement process adapts to the current manipulator state. The system selectively activates measurements based on the manipulator's configuration and the specific task requirements, optimizing computational resources while maintaining real-time capability. The measurement process dynamically adjusts which compliance parameters need to be updated versus which can be reused from previous calculations.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS11364621B2Method for regulating a sample manipulator
Publication Date: 2022.06.21 BENDFLEX RES & DEV PTE LTD
  • US11364621B2 patent drawing
  • US11364621B2 patent drawing
  • US11364621B2 patent drawing

AI summary

The invention provides a method for regulation of a sample manipulator. The method includes generating a list of at least one first displacement for at least one pre-defined object; estimating a least one second displacement with respect to at least one location on the manipulator; comparing the estimated displacement with the list of first displacements to obtain an optimum displacement; and computing at least one second force at the given location from the obtained optimum displacement. The estimation of the optimum displacement facilitates regulation of the manipulator.