Welcome to 'Introduction to Robotics' course !
Real-world systems are rarely perfectly linear. Enter the Extended Kalman Filter (EKF)! This video extends the Kalman filter's power to nonlinear systems using clever linear approximations. We'll use Taylor series expansions to linearize our models, allowing the EKF to track objects even when their motion is complex.
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
#ExtendedKalmanFilter #EKF #NonLinearSystems #TaylorSeries #Robotics
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
