On Kalman Filters and Robotics
Channel: Hasgeek TV
Date: 2020-01-20

There is a concept of state (for example, where are you right now) and a concept of uncertainty (for example, how soon can you reach home). Whenever there is uncertainty, there is a tool that can help you get a better estimate of that state. It is called a Kalman Filter, named after an American mathematician, Rudolf Kalman.

Kalman Filters, or the Linear Quadratic Estimator, is a powerful tool for estimating state in the presence of unreliable or uncertain data. With applications in a multitude of fields ranging from finance, economics, marketing, sports to vehicle control, Robotics, signal processing and biology, it combines data over time resulting in a much better performance than simply using the data present at the current moment. Speaker Naman Kumar - a Robotics engineer - elaborates on Kalman Filters and the intuition underlying Kalman Filters. 

Details of the talk are published here: https://hasgeek.com/anthillinside/2019/proposals/what-can-software-learn-from-robots-and-math-NtfKXPkgMUfGQP9EWdE77x