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Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

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[Pose Testing Method for Medical Service Robots Based on Vision System].

Sheng Hu¹, Xianhuan Wu², Xuwen Chen²

¹Shanghai Institute of Medical Device Testing, Shanghai, 201318.

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation

|April 12, 2022

Summary

This summary is machine-generated.

This study introduces a binocular vision system method for testing medical service robot pose accuracy. The system accurately measures the robot

Keywords:

medical service robot pose test vision system

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Area of Science:

Robotics
Computer Vision
Metrology

Background:

Medical service robots require precise pose accuracy for safe indoor operation.
Existing pose accuracy testing methods may lack efficiency or precision for dynamic robotic systems.

Purpose of the Study:

To propose and validate a novel binocular vision-based method for testing the pose accuracy of medical service robot working surfaces.
To establish a robust system for evaluating robot performance against industry standards.

Main Methods:

Utilized a binocular vision system to establish a measurement coordinate system.
Employed nonlinear least squares method for aligning the vision system with the robot base coordinate system.
Integrated multi-eye image data for comprehensive working surface accuracy assessment.

Main Results:

Successfully tested and verified the vision-based pose accuracy testing method on the ABIR X8 mobile service robot.
Obtained pose accuracy test results aligned with the GB/T 38124 Service Robot Performance Test Method standards.

Conclusions:

The proposed binocular vision method provides an effective and accurate approach for testing medical service robot pose accuracy.
This method contributes to ensuring the reliable performance and safety of indoor service robots.