Sample Manipulator Force Estimation via Optical Displacement
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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
Engineering 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
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.
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.
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
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.
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.
Data Source
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.


