From Python to Julia, discover the programming languages that are shaping the future of robotics and automation

 Python

Widely used in robotics for AI, machine learning, and control systems. Its extensive libraries like TensorFlow and ROS (Robot Operating System) make it essential

 c++

Known for its performance and ability to handle real-time systems, C++ is integral to robotics for tasks requiring high efficiency, such as motion control and hardware interfaces

Rust

 Increasingly popular in robotics for its safety features and performance, Rust is suitable for concurrent systems and embedded devices.

 Java

Offers platform independence, making it useful in robotics for building large systems and GUIs.

 MATLAB

Ideal for mathematical modeling and simulation in robotics, especially in prototyping and kinematic calculations

Lua

Lightweight and fast, Lua is often used in robotics for scripting in embedded systems and game-based robotic simulations.

 Go (Golang)

Emerging in robotics for its simplicity and efficiency in concurrent programming, making it suitable for large-scale robotic systems

Haskell

A functional programming language that can help with high-assurance systems and research in robotics

 R

While primarily used in data science, R is gaining traction in robotics for statistical modeling and machine learning applications.

 Julia

Known for its speed and efficiency in numerical computation, Julia is increasingly being adopted for robotics research and complex mathematical modeling