REMS: Middleware for Robotics Education and Development

TL;DR

REMS is a Pythonic middleware framework designed to enhance robotics education by simplifying setup, promoting modular programming, and supporting multi-agent systems across hardware and simulation environments.

Contribution

The paper introduces REMS, a novel robotics middleware that integrates Pythonic principles to improve educational accessibility and development efficiency in robotics.

Findings

Supports multi-agent systems across hardware and simulation

Enhances readability and reusability of robotic code

Facilitates easier setup and learning for students

Abstract

This paper introduces REMS, a robotics middleware and control framework that is designed to introduce the Zen of Python to robotics and to improve robotics education and development flow. Although existing middleware can serve hardware abstraction and modularity, setting up environments and learning middleware-specific syntax and procedures are less viable in education. They can curb opportunities to understand robotics concepts, theories, and algorithms. Robotics is a field of integration; students and developers from various backgrounds will be involved in programming. Establishing Pythonic and object-oriented robotic framework in a natural way can enhance modular and abstracted programming for better readability, reusability, and simplicity, but also supports useful and practical skills generally in coding. REMS is to be a valuable robot educational medium not just as a tool and to be a platform from one robot to multi-agent across hardware, simulation, and analytical model implementations.