# EduSCARA: An open source RRPR educational SCARA platform

**Authors:** Alex Clark, Uriel Martinez-Hernandez, Tareq Assaf

PMC · DOI: 10.1016/j.ohx.2026.e00761 · 2026-03-17

## TL;DR

EduSCARA is an affordable, open-source SCARA robot platform designed for educational use, offering a hands-on way to learn industrial robotics at a low cost.

## Contribution

The novelty lies in providing a low-cost, customizable SCARA robot with industrial-like features for educational purposes.

## Key findings

- EduSCARA achieves ±3.5 mm repeatability at high speeds.
- The platform supports a 100 g payload, suitable for small-scale educational tasks.
- It offers a Python API for experimentation and customization.

## Abstract

This paper presents EduSCARA, an affordable and industrially relevant Selective Compliance Assembly Robot Arm (SCARA) development platform. Designed to lower the barrier to industrial robotics, EduSCARA provides a complete, hands-on environment that closely replicates the architecture and challenges of professional systems without the prohibitive cost or complexity. The manipulator features a 3D-printed RRPR design actuated by hobby-grade servomotors, with PID-tunable closed-loop control on the planar axes. Its modular and transparent design supports both hardware and firmware customisation, while the Python API gives learners a versatile platform for experimentation. Validation of the system shows ± 3.5 mm repeatability at high speeds and a 100 g payload capacity, supporting small-scale educational and practical tasks. In contrast to traditional industrial robots, often costing tens of thousands of pounds, EduSCARA empowers learners to experiment, debug, and innovate at a fraction of the cost of many other educational robotics platforms. More than just a small robot, EduSCARA serves as a gateway to industrial robotics, making high-impact, professional-grade learning truly accessible.

Graphical abstract Image 1

## Figures

49 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13014973/full.md

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Source: https://tomesphere.com/paper/PMC13014973