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Features: Visual programming language, block-based, generates code in various languages. Common robotics use cases: Educational robots, teaching programming concepts, and rapid prototyping.

Features: Purely functional, strong static typing, lazy evaluation. Common robotics use cases: Software verification, algorithm development, complex data processing.

Features: Compiled, static typing, excels in numerical computing and scientific computing. Common robotics use cases: High-performance robotic systems, numerical modeling, simulation of physical systems.

Features: Object-oriented, platform-independent, has automatic garbage collection. Common robotics use cases: Educational robots, simulation environments, robot control software.

Features: KUKA Robot Language, block-structured language similar to Pascal. Common robotics use cases: Industrial robot programming for tasks such as welding, painting, and assembly.

Features: Developed by Apple, focus on safety, supports functional and imperative programming. Common robotics use cases: iOS-based robotic control apps, teaching programming concepts in robotics.

Features: Strongly typed, supports real-time capabilities, has built-in concurrency. Common robotics use cases: High-integrity robotics systems, safety-critical applications, and real-time controllers.

Features: Lightweight, embeddable, supports multiple paradigms. Common robotics use cases: Scripting for robot behaviors, flexible control systems, educational robotics.

Features: Graphical programming language, dataflow programming, extensive signal processing libraries. Common robotics use cases: Sensor data acquisition, robotics control interfaces, automating test and validation systems.

Features: Middleware layer, facilitates inter-process communication, provides tools and libraries. Common robotics use cases: Robot software modularization, sensor integration, and complex system development.

Features: Object-oriented, dynamic typing, reflective programming language. Common robotics use cases: Research in robotics, educational tools, and developing user interfaces.

Features: High-level, interpreted, large standard library. Common robotics use cases: Robot software development, artificial intelligence algorithms, and educational robots.

Features: Compiled, provides low-level access to memory, supports object-oriented programming. Common robotics use cases: Real-time system development, high-performance robot software, and embedded systems.

Features: Compiled, statically typed, memory safety. Common robotics use cases: High-performance robotics applications, networked robots, and concurrent processing tasks.

Features: High-performance, dynamic typing, designed for scientific computing. Common robotics use cases: Machine learning, signal processing, and operating autonomous robots.

Features: Visual programming language, designed for beginners, event-driven. Common robotics use cases: Educational robots, interactive projects, beginners in robotics.

Features: Designed for ABB robotic systems, high-level, supports procedurals. Common robotics use cases: Manufacturing robots for tasks like packaging, picking, and palletizing.

Features: High-level, garbage collection, macros system. Common robotics use cases: AI research, knowledge-based systems, and motion planning.

Features: Imperative and procedural language, strong typing, clean syntax. Common robotics use cases: Education in robotics, developing structured robot control systems.

Features: Logic-based language, declarative programming, facilitates non-deterministic programming. Common robotics use cases: Planning algorithms, AI development in robotics, natural language processing.

Features: Memory safety without garbage collection, concurrent programming, zero-cost abstractions. Common robotics use cases: Safe embedded systems, high-performance robotics applications, and real-time systems.

Features: MATLAB-based environment, for model-based design, block diagram editor. Common robotics use cases: Robotics simulations, embedded system design, control system testing.

Features: Matrix-based, high-level, interactive environment. Common robotics use cases: Data analysis, simulation, prototyping, and educational purposes.

Features: High-level, just-in-time compiled, first-class functions. Common robotics use cases: Web-based robot interfaces, IoT devices, educational robotics platforms.