About the Project
This project developed a proof-of-concept process applying various automated technologies in combination for industrial inspection applications. The research merged four key technologies:
- Autonomous Guided Vehicle (AGV)
- Collaborative Robot with End-of-Arm Tooling
- Mobile Vision Application
- Target-Based Visual Tracking and Positioning System
The AGV is programmed to follow a predefined path, allowing the mounted collaborative robot and vision system to capture images at specific locations.
Project Overview
Team Members
- 1 Researcher
- 1 Student Researcher
Technologies
- Autonomous Mobile Robots (AMR)
- Collaborative Robots (UR Robot)
- ROBOTIQ Vision System
- Python-Based Communication Protocols
Areas of Expertise
- Automation
- Robotics
- Vision Systems
- Industrial Inspection
Key Innovations
- Autonomous Communication: Establishing communication between the AMR and the UR Robot.
- Automated Vision Integration: Implementing vision systems for industrial inspection tasks.
- Path Optimization: Using target-based tracking for precise positioning and image capture.
Impact & Benefits
- Improved Visual Inspection: Integration of vision systems enhances automated inspections.
- Scalability: Modular system design allows for flexible applications in various industrial settings.
- Error Reduction: Automated positioning and predefined paths reduce human errors.
- Future Expansion: Python-based communication protocols ensure easy future upgrades and integrations.
Related Programs
#Automation #Robotics #AGV #MachineVision #SmartManufacturing #Industry40
