Software engineering
Related papers: 20
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Software engineering, in the context of robotics and AI, encompasses the systematic design, development, testing, and maintenance of software systems that enable intelligent machines and autonomous agents to perceive, reason, and act. It spans a broad range of practices — from low-level embedded programming for real-time control and sensor integration to high-level architectures for multi-agent coordination, motion planning, and machine learning pipelines. Frameworks such as ROS 2, YARP, and OMPL exemplify how principled software design accelerates development by providing reusable, modular components. Simulation environments like V-REP allow engineers to validate algorithms safely before real-world deployment, while tools such as Optuna automate hyperparameter tuning for neural networks. Formal methods, including Petri nets and situation calculus, provide mathematical rigor for specifying and verifying complex behaviors. Software engineering matters in robotics because hardware capability alone is insufficient — well-structured, maintainable, and scalable code is what transforms physical mechanisms into reliable, intelligent systems capable of operating safely in dynamic, real-world environments.
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