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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...
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Related Experiment Video

Updated: May 25, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

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Published on: August 29, 2025

Localization of mobile robots using odometry and an external vision sensor.

Daniel Pizarro1, Manuel Mazo, Enrique Santiso

  • 1Department of Electronics, University of Alcala, NII km 33,600, Alcala de Henares, Spain. pizarro@depeca.uah.es

Sensors (Basel, Switzerland)
|February 10, 2012
PubMed
Summary

This study introduces a novel robot localization system using a single external camera. The method creates a 3D robot model for accurate pose estimation, even with occlusions, benefiting industrial and service robots.

Keywords:
intelligent spacesroboticsvision sensor

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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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Related Experiment Videos

Last Updated: May 25, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

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Published on: August 29, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Area of Science:

  • Robotics
  • Computer Vision
  • Sensor Systems

Background:

  • Accurate robot localization is crucial for autonomous navigation and task execution.
  • Existing methods often struggle with occlusions or require complex sensor setups.
  • External, fixed-view camera systems offer a potentially simpler and more robust localization solution.

Purpose of the Study:

  • To develop a robust sensor system for robot localization using a single, externally mounted camera.
  • To create a 3D geometrical model of the robot from its visual appearance.
  • To implement an online localization method resilient to occlusions.

Main Methods:

  • Robot 3D model generation via projection and structure-from-motion, using internal odometry for metric accuracy.
  • Sequential Bayesian inference for online pose estimation, linking visual data to robot geometry.
  • Experimental validation in real-world scenarios to demonstrate effectiveness.

Main Results:

  • Successful generation of a 3D robot model from a single camera view.
  • Development of an online localization algorithm that effectively utilizes the 3D model and image data.
  • Demonstrated robustness to significant occlusions during robot operation.

Conclusions:

  • The proposed sensor system enables reliable robot localization using a single external camera.
  • The approach is effective in real-world applications, particularly in industrial and service robotics.
  • This method offers a promising solution for enhancing robot autonomy and navigation capabilities.