Discover more about me!
Dedicated to advancing skills in IoT and Robotics, adept at orchestrating cultural events with enthusiasm, and committed to excellence as a football player.
My primary areas of expertise lie within robotics and IoT, with a track record of successful
projects spanning Arduino, Raspberry Pi, ESP32, and a diverse range of sensors.
I am
particularly interested in advancing my knowledge and skills in predictive maintenance, IoT
protocol security, IoT node development, and IoT network architecture.
In robotics, I have demonstrated proficiency in designing an autonomous two-wheeled robot
capable of navigating independently.
My experience extends to utilizing ROS1, RViz, and Gazebo, with a foundational understanding of
CAD Design through AutoDesk Fusion360.
Aspiring Roboticist
My primary areas of expertise lie within robotics and IoT, with a track record of successful projects spanning Arduino, Raspberry Pi, ESP32, and a diverse range of sensors. I am particularly interested in advancing my knowledge and skills in predictive maintenance, IoT protocol security, IoT node development, and IoT network architecture. In robotics, I have demonstrated proficiency in designing an autonomous two-wheeled robot capable of navigating independently. My experience extends to utilizing ROS1, RViz, and Gazebo, with a foundational understanding of CAD Design through AutoDesk Fusion360.
Shiv Nadar University, Chennai
Courses: Digital Design and Microprocessors | Operating System | Programming in C | Python | Sensors and Actuators | IoT Architecture | IoT Communication Protocols | Introduction to AI | Foundations of Data Science | Machine Learning Algorithms | Computer Networks | Deep Learning | Cloud Computing
Shiv Nadar University, Chennai
Yoi Robotics Laboratory, Coimbatore
HCL Tech, Chennai
View all my completed and ongoing projects here!
A simulation of the IoT pipeline (Slave-Master-Gateway-Database-Dashboard) for Industrial IoT protocols.
This project implements a fabric defect detection system using Streamlit for a user-friendly interface and YOLOv8 for object detection.
Spearheaded the development and implementation of Desk Buddy, a cutting-edge smart companion utilizing ESP32, various sensors, and a REACT dashboard to enhance productivity and well-being in work and study environments.
Integrating diverse technologies such as MQTT communication, MongoDB for data storage, and Arduino IDE for sensor programming, ensuring a seamless and functional system.
Designed a versatile robot using Autodesk Fusion 360, highlighting skills in 3D modeling and mechanical design.
Integrated a Hokuyo Laser Scan sensor for improved perception and intelligent obstacle avoidance using AMCL algorithm, leveraging ROS for real-time decision-making.
Implemented Genetic Algorithm, Cultural Algorithm, Particle Swarm Optimization, and Ant Colony Optimization on various optimization problems.
Explored applications including Travelling Salesman Problem, Sine Wave Approximation, and Shortest Path in a Graph.
Developed a robust ball tracking program using OpenCV and ROS, enabling precise detection of tennis balls.
Seamlessly integrated the algorithm into the Robot Operating System (ROS) framework for real-time tracking.
Psychometric evaluation of young adults by calculating a cognitive score.
Improvising the current methods of evaluation by introducing cognition and machine learning models.
Contact Me
raghavn753@gmail.com