Projects

 Drone flight controller based on motion capture system.

 In this project, I  developed a flight controller for a drone using a phase space motion capture camera technology with C++ and then implemented a PID controller for drone flight & integrated it with a phase space motion camera using ROS on an STM32 microcontroller and achieved PID gain values and then implemented position PID algorithm for the drone using C++ and ROS and achieved optimal path planning and navigation and then implemented complementary filter for the fall-safe module of the drone & achieved 54% flight safety accuracy.

Aerial Robotic Drone for Surveillance in School.

 This was a corporate social responsibility project for government schools in Bangalore. In this project. I  developed a surveillance drone using Pixhawk hardware and a mission planner flight controller software.   Implemented YOLO-v8 computer vision model using PyTorch to detect school children in the play area. Achieved an accuracy score of 90.1% for object detection during drone flight to monitor children’s activity 

Industrial Mobile Robot for medium and small scale industries.

 In this project, We built an Industrial mobile robot for medium and small-scale sectors   Developed a custom-made industrial mobile robot using Nvidia Jetson, a 100V DC motor utilizing a battery management system. Developed a control policy for motor speed increases according to the weight of the mobile robot cart.   Implemented YOLO-v8 computer vision model using PyTorch for object detection for obstacle avoidance in the factory environment and achieved 92.6% accuracy.

Design of a flywheel-based gyroscopic module for a quadruped robot.

 In this project, I developed and implemented a gyroscopic stabilization module for a quadruped robot, utilizing a flywheel mechanism using the Quad SDK software. Implemented the ROS Neotic modules using the MoveIt packages for the robot’s kinematics and balance. Conducted system testing under flat and uneven terrains in Gazebo simulations validating the ROS modules.

F1 tenth car

In this project, I worked on mapping the track using SLAM and localizing the environment of the F1 tenth car using an odometer, camera, and LIDAR.