Inverted pendulum

Related papers: 20

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The inverted pendulum is a classic dynamic system consisting of a mass balanced atop a movable base, inherently unstable and requiring active control to maintain upright equilibrium. In robotics and AI, it serves as both a physical platform and a mathematical abstraction for modeling and controlling systems where balance is critical. Bipedal humanoid robots are frequently approximated as linear inverted pendulums, allowing engineers to simplify complex multi-body dynamics into tractable models for generating stable walking gaits, predicting fall recovery, and computing foot placement strategies. Concepts such as the Zero Moment Point and Capture Point emerge directly from inverted pendulum analysis. Beyond legged locomotion, the model applies to self-balancing wheeled robots, prosthetic limbs, and underactuated manipulators like the Pendubot. It also serves as a standard benchmark for evaluating control strategies—including sliding-mode, neural network, and reinforcement learning approaches—because its nonlinear, unstable nature exposes the true capabilities of a controller. Its combination of analytical tractability and practical relevance makes it one of the most foundational and widely studied systems in robotics and control engineering.

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