Robotic Drywall Painting End Effector With Vision-Guided Precision

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing drywall installation and finishing processes are labor-intensive and lack automation, particularly in tasks such as cutting, hanging, mudding, sanding, and painting, which can be inefficient and inconsistent.

Innovation Solution

An automated drywalling system comprising a robotic arm with modular end effectors for cutting, hanging, mudding, sanding, and painting, integrated with a base unit and vision systems for planning and mapping, enabling automated drywall installation and finishing processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated robotic systems are implemented for drywall installation and finishing, then productivity and consistency are improved, but device complexity increases

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

Solution Approach 1:

The automated drywall system is divided into separate modular components including a robotic arm for cutting and hanging operations, a separate mudding system with compound application tools, and an independent sanding system. Each module can be independently controlled and maintained, reducing overall system complexity while maintaining high productivity across all drywall installation stages.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The robotic arm is designed with interchangeable end effectors that can perform multiple functions including cutting drywall panels, hanging them on walls, and transitioning to mudding operations. This multi-functional design consolidates what could be separate systems into one universal platform, improving productivity without proportionally increasing device complexity.

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

2Manufacturing precision

If precise automated control is used for paint application, then manufacturing precision and surface quality are improved, but device complexity and operational complexity increase

Engineering Contradiction:
Improvepaint application precisionVSAvoidcontrol system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The paint sprayer system incorporates sensors that monitor paint flow rate, spray pattern, and wall surface distance in real-time. This feedback is fed back to the control system which automatically adjusts spray parameters to maintain consistent paint application thickness and quality, achieving high manufacturing precision through closed-loop control rather than complex open-loop systems.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

Manual mechanical painting operations are replaced with an automated spray system that uses computer-controlled movement and spray parameters. The system substitutes complex mechanical painting motions with simpler automated spraying mechanics guided by digital paths, reducing the complexity of mechanical components while improving precision through digital control.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250327317A1Automated drywall painting system and method
Publication Date: 2025.10.23 JLG IND INC
  • US20250327317A1 patent drawing
  • US20250327317A1 patent drawing
  • US20250327317A1 patent drawing

AI summary

An automated painting system that includes a robotic arm and a painting end effector coupled at a distal end of the robotic arm, with the painting end effector configured to apply paint to a target surface. The painting system can also include a computing device executing a computational planner that: generates instructions for driving the painting end effector and robotic arm to perform at least one painting task that includes applying paint, via the painting the end effector, to a plurality of drywall pieces, the generating based at least in part on obtained target surface data; and drives the end effector and robotic arm to perform the at least one painting task.