• Design and integration of Computer vision aided automatic precision drone landing.
• Design and integration of Computer vision aided automatic precision drone landing.
• Design and integration of Computer vision aided automatic precision drone landing.
• Novel research on Electromyography Signal Analysis with Real Time Support Vector Machine for Robot Arm Manipulation using Robot Operating System (ROS).
• Signal Analysis, Artificial Intelligence, Signal Pattern Recognition, and Machine learning are being used for the Classification stage and Baxter Robot is used for Robotic arm manipulation. Also developing new theory for Magnitude force calculation from EMG data.
• Moving Average and Moving RMS Filter Techniques are used for Features Extraction.
• Presents an 'iRobot create 2' manipulation using Logitech Joystick in Linux ans ROS (Robot operating system) is used as the software platform for controlling iRobot.
• Node script (.cpp) is been created in Ros in C++ language. This node will communicate via Topics in Ros platform.
• A joystick will publish the Topic which will be subscribed by iRobot and network will be created.
• A laptop is used as Operating Platform to process the data on Ros. Joystick controlling iRobot create 2 application is shown here using Ros packages.
• Custom made drone using Pix hawk as a flight controller and Raspberry pi 2 has been employed for controlling high level algorithm like computer vision, AI.
• Python Dronekit has been adopted for future control of the drone from remote Linux system or using embedded Raspberry pi for autonomous control using python program and ROS .