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<title>Ch. 19 - State Estimation</title>
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<h1><a href="index.html" style="text-decoration:none;">Underactuated Robotics</a></h1>
<p data-type="subtitle">Algorithms for Walking, Running, Swimming, Flying, and Manipulation</p>
<p style="font-size: 18px;"><a href="http://people.csail.mit.edu/russt/">Russ Tedrake</a></p>
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© Russ Tedrake, 2023<br/>
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<p><b>Note:</b> These are working notes used for <a
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<chapter style="counter-reset: chapter 18"><h1>State Estimation</h1>
<section><h1>Observers and the Kalman Filter</h1></section>
<section><h1>Recursive Bayesian Filters</h1>
<todo>Unscented Kalman, Particle Filters. Largely defer to other texts, like probabilistic robotics.</todo>
<todo>DART? Other point-cloud-based algorithms?</todo>
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<section><h1>Smoothing</h1>
<todo>ISAM, ... </todo>
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