EIONI
This post talks about how you can setup a blog using Jekyll and host it using GitHub. Jekyll offers simple and blog-aware, static site generation. Jekyll takes your content, renders Markdown and Liquid templates, and spits out a complete, static website ready to be served by Apache, Nginx or another web server.
I have been thinking of creating a small mobile robot from scratch. From scratch means, go through all the steps of a product development. Design the overall architecture, design the circuits, make 3D model of the parts, 3D print the parts and finally integrate with ROS.
Out in the market, there are a handful of car infotainment systems that you can buy for 10 to 30k INR. But nothing beats the thrill of making one from scratch and put it on your own car. So this is my effort to make one from the scratch.
Bored of having the same boot animation screen again and again? There are plenty of Plymouth themes available out there. This is a theme I created by slicing some cool gif files I found online. You can download the theme and find the installation steps on my github account. Link
This is a project I had completed while doing internship at EY. The idea is to automate inventory and the stock checking process without any human intervention. Today these are all done using human resource. This is a really tiresome work because it involves manually inspecting each pallet (box) and read the QR/Bar code associated with it.
If you are a geek, then you definitely want to mess with everything to create something cool out of it. What about controlling all of your appliances from your computer or from your smart phone wirelessly? Set timer for light when you go to sleep; autonomously switch your fan on when temperature exceeds; and when you are too lazy to get up from your bed to switch fan/light off. All you need is an ESP8266 with a couple of other components that cost <10$.
This video is a part of an AR Drone autonomous landing project. Here the AR Drone is controlling itself so that the landing platform is exactly in the middle so that it can initiate a proper landing. Here AR Drone is also tracking the Tag embedded on the landing platform (Not using the inbuilt tag detection. The tag that is being used here is from the ar_track_alvar package.). This is implemented using Neural Network. (The video is playing at a slightly faster rate.)
This is an obstacle avoiding robot which I and Sooraj Krishna built in ROS using STDR simulator. The robot is making decision based on a 3 layer Neural Network. The learning algorithm used is back-propagation (which we wrote in python). The network design is shown below.