Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle

2015 ◽  
pp. 663-673
Author(s):  
Zahari Taha ◽  
Jessnor Arif Mat-Jizat
Keyword(s):  
Automated Guided Vehicle ◽  
Landmark Tracking

PLC Based Sub-Assembly Station with Automated Guided Vehicle

2018 ◽  
Vol 6 (7) ◽  
pp. 256
Author(s):  
K. S. Margaret ◽  
G. Sathish Kumar ◽  
J. Narendiran ◽  
M. Raman
Keyword(s):  
Sequential Procedure ◽  
Automated Guided Vehicle ◽  
Work Station ◽  
General Methodology ◽  
Automatic Guided Vehicle ◽  
Store Room ◽  
Destination Point ◽  
Storage Bins

The aim of the project is to build an assembly station with the preventive section under the process of poke yoke system. Poke yoke is the general methodology following in industry to avoid mismatching product in assembly stations.  The main aim of this project is to avoid assembling process when the sequential procedure is not followed. The project also deals with AGV – Automatic Guided Vehicle. It automatically shifts the assembling components from store room to work station when the count of components decreases in storage bin. When the material count in the storage bins reaches the preset count it will pass signal to store room, the components will be filled manually in AGV storage bins and then the AGV is moved to the destination point (work station).

scholarly journals Design and Simulation of an Automated Guided Vehicle through Webots for Isolated COVID-19 Patients in Hospitals

2020 ◽  
Author(s):  
Meenakshi Prabhakar ◽  
Valenteena Paulraj ◽  
Joshuva Arockia Dhanraj ◽  
Seenu Nagarajan ◽  
Dhusyant Arumukam Karthi Kannappan ◽  
...  
Keyword(s):  
Automated Guided Vehicle

scholarly journals Study on channel prediction for automated guided vehicle using a probabilistic neural network

2019 ◽  
Vol 8 (8) ◽  
pp. 311-317 ◽  
Author(s):  
Julian Webber ◽  
Norisato Suga ◽  
Abolfazl Mehbodniya ◽  
Kazuto Yano ◽  
Yoshinori Suzuki
Keyword(s):  
Neural Network ◽  
Probabilistic Neural Network ◽  
Automated Guided Vehicle ◽  
Channel Prediction

Adaptive Gimbal Control Approach to Account for Power Consumption and Landmark Tracking Quality

2016 ◽  
Author(s):  
Akin Tatoglu ◽  
Claudio Campana
Keyword(s):  
Power Consumption ◽  
Input Signal ◽  
Feature Detection ◽  
Oscillation Amplitude ◽  
System Response ◽  
Indoor Environments ◽  
Tracking Accuracy ◽  
Visual Sensor ◽  
Control Approach ◽  
Landmark Tracking

Unmanned Aerial Vehicles (UAV) are commonly used for robotics research and industrial purposes. Most of the autonomous applications use visual sensors and inertial measurement units for localization. Design constraints of such systems are defined considering smooth operation requirements such as indoor environments without external forces where input tracking signal is constant during an operation. In this research paper, we simultaneously investigate and compare stability, power consumption and landmark tracking quality of a visual sensor mounted gimbal specifically for rapid UAV motion requirements where input signal continuously varies such as at obstacle rich environments. We not only attempt to find efficient control parameters but also compare these settings with power consumption and landmark tracking quality metric which are vital for mobile robots and localization algorithms. Efficiency of the system response is analyzed with rise and settling time as well as oscillation amplitude and frequencies. These parameters are tested and benchmarked with various voltage and current limitations. In addition to that, different response behaviors were investigated considering landmark tracking quality metrics including feature detection and image blur. We have shown that gimbal stabilization controller under continuously varying input signal requires less responsive behavior to keep landmark tracking accuracy stable. Initial simulation results, system development and experimental setup procedure are explained and behavior plots for each topic are listed and analyzed.

A review of automated guided-vehicle systems design and scheduling

1991 ◽  
Vol 2 (1) ◽  
pp. 44-51 ◽  
Author(s):  
RUSSELL E. KING ◽  
CARL WILSON
Keyword(s):  
Systems Design ◽  
Automated Guided Vehicle ◽  
Vehicle Systems

A Study on the Automated Guided Vehicle Platform for a Logistics Robot

2021 ◽  
Vol 38 (2) ◽  
pp. 153-160
Author(s):  
Ho Seong Lee ◽  
Sowon Jung ◽  
Jae-Yun Jeong ◽  
Seong-Hyun Ryu ◽  
Won-Shik Chu
Keyword(s):  
Automated Guided Vehicle ◽  
Vehicle Platform
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