Simple (philosophy)
Related papers: 20
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Simplicity, as a design philosophy in robotics and AI, refers to the principle that effective, robust systems can often be built from minimal, elegant components rather than complex, exhaustive models. Rather than attempting to capture every detail of a problem, simple approaches leverage streamlined controllers, reduced mathematical models, and modular architectures to achieve reliable behavior in real-world environments. In robotics, this philosophy appears across diverse domains: layered control architectures built from basic reactive modules, linear inverted pendulum models for bipedal locomotion, simple PD controllers for elastic-jointed manipulators, and granular jamming grippers that achieve universal grasping through straightforward physical principles. Similarly, crowd behavior and pedestrian dynamics can emerge from minimal rule sets, and complex cooperative robot systems can be assembled from simple individual controllers. Simplicity matters because it promotes transparency, ease of analysis, robustness to uncertainty, and computational efficiency — qualities critical for deploying robots in unpredictable real-world settings. Overly complex models risk brittleness and obscure failure modes, while simple designs expose underlying principles and generalize more reliably. Understanding when and why simplicity suffices is therefore a foundational engineering judgment that guides effective system design across robotics and AI.
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