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Related Concept Videos

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

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Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
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Precise 3D Lug Pose Detection Sensor for Automatic Robot Welding Using a Structured-Light Vision System.

Jae Byung Park1, Seung Hun Lee, Il Jae Lee

  • 1Division of Electrical, Electronic and Computer Engineering, Chonbuk National University, Jeonju 561-756, Korea; E-mail: jbpark@chonbuk.ac.kr (J.B.P.); fallenstyner@gmail.com (S.H.L.).

Sensors (Basel, Switzerland)
|March 9, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a 3D lug pose detection sensor for robot welding in shipbuilding. The sensor uses lasers and cameras for precise positioning, improving automated welding accuracy.

Keywords:
automatic robot weldinglug pose detectionstructured-light vision system

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Area of Science:

  • Robotics and Automation
  • Computer Vision
  • Manufacturing Engineering

Background:

  • Automated welding in shipbuilding requires precise component positioning.
  • Traditional methods for lug placement can be time-consuming and labor-intensive.
  • Accurate 3D pose detection is crucial for robotic manipulation tasks.

Purpose of the Study:

  • To develop and validate a precise 3D lug pose detection sensor for automatic robot welding.
  • To enhance the accuracy and efficiency of attaching lugs to large steel plates in shipbuilding.
  • To enable robust pose acquisition under varying illumination conditions.

Main Methods:

  • A sensor comprising a camera and four laser line diodes was designed and its parameters optimized.
  • Four laser lines were projected onto the lug and steel plate for pose acquisition.
  • Image processing techniques including vertical thresholding, thinning, and Hough transforms were applied for robust line detection.
  • A two-stage alignment process (top view and side view) was implemented for coarse and fine pose detection.

Main Results:

  • The proposed sensor successfully acquired precise 3D lug pose information.
  • The two-stage alignment strategy effectively improved pose detection accuracy.
  • Experimental validation demonstrated the sensor's feasibility and effectiveness for robotic welding applications.

Conclusions:

  • The developed 3D lug pose detection sensor is a viable solution for precise automatic robot welding in shipbuilding.
  • The sensor's robust image processing and two-stage alignment contribute to reliable performance.
  • This technology has the potential to significantly improve efficiency and accuracy in large-scale steel structure manufacturing.