The PLOC2D EduPack is designed to bring advanced 2D vision-guided robotics into the classroom. Developed collaboratively by Universal Robots and SICK, Inc., this curriculum and hardware bundle equips students with the skills needed to thrive in modern industrial automation environments.
What It Is:
A college-level curriculum and hardware kit that teaches students how to integrate and apply 2D vision systems in robotic automation, using the SICK PLOC2D camera and Universal Robots platforms.
Target Audience:
- Students aged 16–22 pursuing education in robotics, automation, vision systems, and industrial applications.
Course Prerequisites:
- Completion of the Universal Robots Educational Robotics Training – Core Curriculum.
Components:
- SICK PLOC2D Camera kit
- SICK PLOC2D Teacher Training (virtual hybrid format)
- UR LMS access to six structured course modules
Curriculum Highlights:
- 6 Modules | 20–22 Hours Total
- Hands-on Labs & Real-World Applications:
- Capstone Project & Final Quiz
- Certificate of Completion (SICK-recognized industry certification)
- Delivered via UR LMS platform
Modules Include:
- Introduction to 2D Vision
- Core & Advanced Vision Concepts:
- SICK PLOC2D Camera Setup
- Pick & Place with Vision
- Belt Picking Applications
- Final Project & Certification
Teacher Training:
- Format: 2 days self-paced + 2 days virtual instructor-led
- Required for Curriculum Access
- Delivered by SICK Training Specialists
- Scheduled via UR Training Platform
- Why choose PLOC2D EduPack?
- Turnkey Package – Includes everything needed to get started: camera, cables, mounting hardware, and lab materials
- Industry-Relevant Curriculum – 6 modules, 20+ hours of content, quizzes, labs, and a capstone project created and supported by recognized brands (SICK and UR)
- Recognized Certification – Students earn a SICK-endorsed certificate upon completion
- Seamless Integration – Built for Universal Robots platforms with URCap support
- Designed for Education – Budget-friendly pricing and LMS delivery for easy adoption
Perfect For:
- Colleges and technical schools teaching robotics and automation
- Educators looking to expand into machine vision
- Students aged 16–22 interested in industrial technology careers