Needless to say but Kalman Filtering is one of the most powerful estimation processes in almost any Engineering field. From robotic vacuums to Satellite Guidance, it is everywhere. Here I will explain the how’s and why’s of the Kalman Filter (KF) in our lives.
Any decent technological project will use this robust method for the final estimation of the position of any intelligent system. The format of the given information can be, fortunately, represented as a Gaussian state.
Thanks to this property, it is possible to use Gaussian filters (KF is one of them), in order to improve the final estimation.
Gaussian modelling estimations are going to be carried in this explanation, so it is preferable to have this mathematical background (a simple understanding is enough) in order to follow the presented technique. Continue reading →
So far, so good. It has been a year since I decided to get fully involved in this field of Computer Vision, and hasn’t been easy, but I gotta say it is full of surprises. My University has been strongly doing some research about it, and a proof of that is that the 3D Computer Vision course given in Coursera is actually done by a Professor in my university (tho in German). So, I think we’re moving quite strong.
Many companies around the world are fascinated with natural selection, because there is no wider range of inspiration for technology than the nature itself. Machines, robots and software are being designed with a strong background in biological elements. It is not coincidence that terms like mouse, virus or bug are common in the thecnological field.
Festo is a german company whose main goal is to design and build actuators for the automation industry. They are one of the biggest in this field. However, the german engineering is challenging through Festo again, and the innovation lovers in the company created the Festo Bionic Lab, where they have a complete freedom to experiment with their creativity. What have they done? A field entirely made of biological immitation. Their creations may deceive your eyes at first sight, but oh boy! They have nailed it. Let’s check their main robots (my favorites), just for you to have an idea what I’m talking about…
The Airacuda was the first project, released in 2006, and the big challenge was to create a system that could really be an underwater robot, behaving and moving as a real fish. It still seems quite “robotic” with no emphasis in its out-looks, but the engineering behind such an underwater systems has been a true innovation copying the fish.