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#33 Kalman Filter | Introduction to Robotics
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Introduction to Robotics | IIT Madras - #33 Kalman Filter | Introduction to Robotics

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45 learners

What you'll learn

This course includes

  • 28.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Welcome to 'Introduction to Robotics' course ! Want to track a moving object even when measurements are noisy? The Kalman filter is here to help! This video introduces this powerful algorithm, a cornerstone of robotics and control systems. We'll assume our system is linear and noise is Gaussian, then walk through the prediction and update steps that make the Kalman filter tick. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/107106090 #KalmanFilter #StateEstimation #GaussianFilter #Robotics #Localization

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