Architectures & Robotics Stack
Modern robots are complex systems — combining hardware, software, AI models, sensors, and control loops. This section breaks down how robotic systems are structured and where complexity quietly accumulates.
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Topics We Explore
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Perception, planning, and control pipelines
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Sensor fusion and data challenges
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Simulation vs real-world gaps
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Autonomy vs human-in-the-loop systems
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Integration with legacy infrastructure
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A Practical Lens
Rather than abstract theory, we focus on:
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architectural tradeoffs teams actually face
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why some stacks scale better than others
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where performance degrades in real environments
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how software decisions affect long-term maintainability
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Who This Is For
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Robotics engineers and system designers
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Product managers working on robotics platforms
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Learners seeking a realistic view of robotics systems
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