Automated Drywall Planning With Robotic Toolpath Segmentation

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Solution Overview

Problem

Existing drywall installation and finishing processes are inefficient and labor-intensive, lacking automated solutions for optimizing drywall layout, cutting, hanging, mud work, sanding, and painting.

Innovation Solution

An automated drywalling system that includes a computational planner, a robotic arm, and modular end effectors for tasks such as cutting, hanging, mud application, sanding, and painting, optimized by a planner that uses vision systems and sensors to create toolpaths and set tool parameters based on real-time data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated drywalling system is implemented, then productivity and efficiency are improved, but device complexity increases

Engineering Contradiction:
Improvedrywall installation efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The automated drywalling system is divided into separate modular components including a robotic arm for cutting and hanging, a separate mudding system with compound application tools, and a sanding system with adjustable sanding heads. Each module can be independently controlled and optimized, resolving the contradiction by improving overall productivity through automation while managing device complexity through modular architecture.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The robotic arm is designed with interchangeable end effectors that can perform multiple functions including cutting, hanging, mudding, and sanding operations. This multi-functionality improves productivity by eliminating the need for separate specialized equipment while the universal design reduces overall system complexity compared to having entirely separate systems for each task.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Manufacturing precision

If computational planner with vision systems is used, then manufacturing precision is improved, but device complexity increases

Engineering Contradiction:
Improvedrywall layout accuracyVSAvoidplanning system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The computational planner performs preliminary actions by creating a complete digital model of the workspace and optimizing the entire drywall layout before any physical installation begins. The system calculates precise cut lines, panel positions, and sequencing in advance, achieving high manufacturing precision while reducing on-site complexity by eliminating the need for manual measurements and adjustments during installation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The vision system creates a digital copy or replica of the physical workspace including wall dimensions, stud locations, and obstacles. This digital model is then used by the computational planner to optimize layouts and generate toolpaths. The copying approach achieves high precision by working with accurate digital representations while reducing physical complexity by eliminating the need for complex physical layout tools and manual marking systems.

Inventive Principle:
Principle #26Copying

3Loss of time

If automated cutting and hanging is performed, then loss of time is reduced, but manufacturing precision requirements increase

Engineering Contradiction:
Improveinstallation timeVSAvoidcutting and positioning accuracy
Core Design Contradiction:
Loss of timeVSManufacturing precision

Solution Approach 1:

The robotic cutting and hanging system incorporates sensors and vision systems that provide real-time feedback on panel positions, cut depths, and alignment. This feedback loop allows the system to make micro-adjustments during operation, achieving high manufacturing precision quickly without requiring excessive manual verification and adjustment time, thus reducing overall installation time while maintaining accuracy.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250034886A1Automated drywall planning system and method
Publication Date: 2025.01.30 JLG IND INC
  • US20250034886A1 patent drawing
  • US20250034886A1 patent drawing
  • US20250034886A1 patent drawing

AI summary

An automated drywalling system network that includes one or more automated drywalling systems that each has a robotic arm. The automated drywalling system network can also include a computational planner that generates instructions for the one or more automated drywalling systems to perform two or more drywalling tasks associated with a target wall assembly. The two or more drywalling tasks can include a hanging task that includes hanging pieces of drywall on studs of the target wall assembly; a mudding task that includes applying joint compound to pieces of drywall hung on studs of the target wall assembly; a sanding task that includes sanding joint compound applied to the pieces of drywall hung on studs of the target wall assembly; and a painting task that includes painting sanded the joint compound applied to the pieces of drywall hung on studs of the target wall assembly.