Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Glassware Calibration

Glassware Calibration

Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...

Calibration Curves: Linear Least Squares

Calibration Curves: Linear Least Squares

A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Vacuum Pyrolysis Engineered CoSb/C Scaffold for Sodium Metal Anodes with Sodiophilic and Superionic Interphase.

Nano letters·2026

Same author

Reactivity of a d<sup>2</sup> Mo(IV) Alkylidyne Fragment Bearing a PNCNP Pincer Ligand Toward Alkynes: Coordination and Catalytic Alkyne Metathesis.

Angewandte Chemie (International ed. in English)·2026

Same author

Revealing Electronic Effect in Mesoporous Medium-Entropy Alloy for Promoting Electrocatalytic Upcycling of Polyethylene Terephthalate Plastic.

ACS nano·2026

Same author

Omnidirectional dual-femtosecond absolute ranging for high-precision multi-target coordinate measurement.

Optics express·2026

Same author

Regulating Coordination Chemistry in Deep Eutectic Electrolytes via Electron-Withdrawing Effect Within Hydrogen Bond Donors for High-Voltage Lithium Metal Batteries.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Organic neuromorphic vision devices with multilevel memory for palmprint identification.

Chemical science·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 5, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

A vision-based self-calibration method for robotic visual inspection systems.

Shibin Yin¹, Yongjie Ren, Jigui Zhu

¹State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. yongjieren@tju.edu.cn.

Sensors (Basel, Switzerland)

|December 5, 2013

Summary

This summary is machine-generated.

This study introduces a vision-based robot self-calibration method for evaluating kinematic parameter errors. The approach simplifies industrial calibration, enhancing accuracy and convenience without external equipment.

More Related Videos

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

Related Experiment Videos

Last Updated: May 5, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

Area of Science:

Robotics
Computer Vision
Mechanical Engineering

Background:

Robot calibration is crucial for accuracy in industrial applications.
Conventional methods often require expensive equipment and complex setups.
Accurate kinematic parameter identification is essential for reliable robot performance.

Purpose of the Study:

To propose a vision-based robot self-calibration method.
To evaluate kinematic parameter errors using a visual sensor on the end-effector.
To enable industrial calibration without external apparatus.

Main Methods:

A line-structured laser sensor defines the robot's Tool Center Point (TCP).
A mathematical model links misalignment errors to kinematic and TCP position errors.
An iterative algorithm identifies errors based on fixed point constraints.

Main Results:

The method eliminates the need for robot-based-frame and hand-to-eye calibrations.
It shortens the error propagation chain, improving accuracy and convenience.
Experimental validation on an ABB IRB2400 robot showed significant improvements in measurement accuracy.

Conclusions:

The proposed vision-based self-calibration method is effective for industrial robots.
It offers a more accurate and convenient alternative to traditional calibration techniques.
Optimal fixed point configurations enhance the performance of robotic visual inspection systems.