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Showing posts from October, 2016

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Product Design of a 4 wheel differential drive robot

Plymouth theme for Ubuntu

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. ( https://github.com/krishnan793/PlymouthTheme-Cat )  The theme is created for Ubuntu 16.04. But this can be installed on previous versions with slight modification. If you have a slow computer then you can watch the whole animation loops. (The VM I used to record the screen was fast though. :))

Self Balancing Robot

I am working on a small self balancing robot for couple of days. It is not completed yet. To minimise the cost I used breadboard itself as a frame instead of a wooden or an acrylic one. 1 x Breadboard (small) 1 x Arduino pro mini 1 x IMU MPU 6050 1 x Motor driver 1x Powerbank (TP Link) 2 x DC Motor Things done Get raw data of IMU Get pitch,roll and yaw Control DC Motors from arduino Thing that need to be done Implement PID Tune Kp,Ki, and Kd.

Warehouse Management System using Drones

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.  Instead consider a swarm of drones (a dozen or a hundred drones) go and check each pallet and complete the whole inventory and stock checking process in just a few minutes. This is a proof of concept design in which a drone uses a blueprint to travel a particular path and then reads and analyse each stock item and update it in the warehouse management system. All these things are done in real time. The drone used here is Parrot bebop and is implemented in ROS. Instead of actual boxes, QR code is fixed to symbolise each palette. The ROS implementation makes the project scalable. The video of the project is shown below.