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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...

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Related Experiment Video

Updated: May 29, 2026

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

Mobile robot localization using sonar.

M Drumheller1

  • 1Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139; Machines Corporation, 245 First Street, Cambridge, MA 02142.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

This study presents a novel sonar-based method for mobile robot localization. The technique accurately determines robot position and orientation using range data, even with noisy sensors and cluttered environments.

Related Experiment Videos

Last Updated: May 29, 2026

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

Area of Science:

  • Robotics
  • Sensor Fusion
  • Artificial Intelligence

Background:

  • Mobile robot navigation requires accurate self-localization within an environment.
  • Traditional methods can be sensitive to sensor noise and environmental changes.

Purpose of the Study:

  • To develop and demonstrate a robust method for 2D mobile robot localization using sonar range data.
  • To enable reliable robot positioning in environments with noise and transient objects.

Main Methods:

  • Modeling room layouts as line segments.
  • Correlating sonar range data segments with the room model.
  • Employing the sonar barrier test to eliminate improbable robot configurations.

Main Results:

  • The algorithm successfully determines the 2D position and orientation of a mobile robot.
  • The method demonstrates high tolerance to sensor noise and environmental clutter.
  • Transient objects like furniture and people do not require explicit inclusion in the room model.

Conclusions:

  • Sonar range data can be effectively utilized for robust mobile robot localization.
  • The proposed method offers a practical solution for navigation in dynamic and noisy environments.
  • The approach is suitable for low-resolution and noisy sonar sensors.