EIONI
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.
Parrot Bebop drone is much stable while comparing with the most widely used AR Drone. Due to ROS support and its open API AR Drone was widely used in the research community.
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 a demonstration of AR Drone 2.0 simulation under gazebo using tum_simulator on ROS Indigo. This video is a part of an autonomous landing of AR Drone project.
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.
