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Recursive State Estimation Lecture 7 Perception as a Continuous - - PowerPoint PPT Presentation
Recursive State Estimation Lecture 7 Perception as a Continuous - - PowerPoint PPT Presentation
Recursive State Estimation Lecture 7 Perception as a Continuous Process Perception as a Multi-Modal Experience Perception as Inference Helmholtz (1821-1894) Plato (I BC) Recursive State Estimation Mathematical Formalism to: continuously
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Perception as a Multi-Modal Experience
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Perception as Inference
Plato (I BC) Helmholtz (1821-1894)
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Recursive State Estimation Mathematical Formalism to:
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continuously integrate measurements
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from different sensor sources
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to infer the state of a latent variable
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Why is this Useful for Robotics?
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Today
- Intro: why state estimation?
- Bayes Filter
- Kalman Filter
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The Agent and the Environment
Perception World Model Decision Making
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Notation
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Probability Theory Refresh
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Probability Theory Refresh 2
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Probability Theory Refresh 3
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The Bayes Filter
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The Bayes Filter
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Limitations
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