My first ever project, based on any microcontrollers and starting of my Robotics journey. It's a basic robot programmed in C language using an Arduino Uno microcontroller. It has the capacity to be controlled using keyboards and hand gestures. It is also capable of following lines through a maze and avoiding obstacles on its way.

Link : Google Drive.

In this project, I have worked on Robot Operating Systems. Five different kinds of Path planning approaches are discussed and compared in this project. Also, all the approaches are implemented in a simulated environment to check their precision, accuracy and usefulness in various different scenarios and environments. Also, the ROS is programmed in a simulated real-life robot to avoid obstacles in the way of a variable environment created by simulation.

Link : Google Drive.

• This paper is mainly based on semi-supervised learning-based machine learning implementation with computer vision for the detection of Healthy and Unhealthy animal images.


• This is my published research work on PeerJ publication. I have worked on computer vision-based image component extraction and providing those components to the general adversarial network (GAN).


• My other two colleagues have worked on the implementation of semi-supervised learning using GAN and all of us have worked on the documentation.

Link : Google Drive.

Link : Publication Paper - Peer J.

In the industry, modeling and simulation play a crucial role in the selection of the best control strategy and the description of the system. The modeling, controlling, and monitoring of the water level and flow rate are the main goals of this research. The flow rate equation and the flow rate vs. rpm graph, which were measured for various flow rates, were used to create the mathematical model. The optimal working point is provided by the static analysis. Additionally, the dynamic analysis provides a summary of the system's real behaviour. procedures that involve the use of a motor and pipe in conjunction with the flow of water into the tank and a water level sensor that continuously measures the depth needed to fill the tank to the proper level.
The system automatically adjusts the flow rate after the initial input to maintain power efficiency. The real model is used to test the mentioned techniques. The model uses the derived mathematical formulae and executed the process. The results have demonstrated that the suggested mathematical model is reliable and suitable for use in controlling the flow rate as it executed the process by filling the water tank to a precise required level. Also, the system is able to comprehend the required amount of water flow rate with the change in the water level of the tank and works with power efficiency.

Link : Google Drive.

• It’s a project based on programming microcontrollers in assembly-level language. The code is provided in the Proteus online simulation.


• I and my teammates compiled the code and implemented them to check the RFID scanned in the simulation is correct if the proper number is given as input otherwise the RFID is invalid.


• After that, the code is implemented in Arduino and raspberry pi using serial communication.


• The physical RFID tag is used to authenticate the details and the UART communication sends signals to move the motors for moving the car.

Link : GitHub, Youtube

• The goal of the proposed project is to develop a fun and engaging robotic system that can play tic tac toe. This project uses the myCobot Pro robotic arm, which is fitted with an Adaptive Gripper or a Single Head Suction Pump, to create a Tic-Tac-Toe-playing robot.


• It does this by utilizing cutting-edge technologies like color recognition, robotics, and computer vision. The myCobot80M5's integration with Python, OpenCV, and other technologies presents a special chance to demonstrate the smooth interaction between humans and machines in a playful setting.


• The goal of this project is to create an engaging and user-friendly interface for interacting with a Tic-Tac-Toe-playing robot while investigating recreational robotics in the context of human-robot collaboration. The project illustrates how combining cutting-edge technology can fundamentally alter how people interact with robotics in entertainment, even beyond its technical implications.

Link : Youtube, Github.

• Serial Communication Setup: Establish a stable serial communication link between MATLAB and the MyCobot robot for effective data transfer and command execution.


• Control Algorithm Implementation: Develop a reliable MATLAB control algorithm enabling precise manipulation of MyCobot joints and end-effector, allowing users to define desired positions and orientations.


• GUI Development: Create a user-friendly MATLAB GUI for seamless control, enabling users to input precise joint angles and execute intricate motion sequences with ease.


• Real-Time Feedback: Integrate real-time feedback from the MyCobot to provide accurate and timely information about the robot's current state, joint angles, and executed commands.


• Results: The MyCobot robotic arm was successfully controlled using the MATLAB control algorithm and graphical user interface (GUI), allowing precise motion execution and joint angle specification. Real-time feedback confirmed accurate interpretation of user inputs.


• Forward Kinematic Solution Verification: Extensive testing confirmed the accuracy of the forward kinematic solution. A high degree of precision was observed in comparing actual positions and orientations with those determined by the control algorithm.


• Alphabet Drawing: Presentation of alphabet 'Z' drawings executed in simulation and by the actual MyCobot robot.


• Implementation on Actual Robot: Serial communication facilitated the transfer of simulated alphabet waypoints to the physical robot. Conversion of numerical values to hexadecimal was required for the robot to interpret the waypoints.


• Conclusion:The project showcases seamless control of physical hardware through MATLAB's serial communication with the MyCobot robotic arm. The validated control algorithm ensures precise conversion of human inputs into accurate robotic motions, highlighting MATLAB's efficacy in real-world applications with physical robotic systems.

Link : Youtube, Github.

• MEDICO System is a high-tech solution designed to make your healthcare experience smoother and safer. Think of it like a smart assistant for both patients and hospital staff.


• The project incorporates various modules like creating QR codes for patients, checking if people are wearing face masks, suggesting medicines, and helping doctors understand prescriptions better.


• Future Aspects include merging different codes to a single app to work in a synchronized manner etc creation of a dedicated user friendly website.

Link : Google Colab, Github.

• The UR5 is a state-of-the-art industrial robot renowned for its applications in collaborative automation. Equipped with a user-friendly interface, the UR5 excels in various industries. The lab aimed to harness the robot's capabilities through different programming paradigms, paving the way for a deeper understanding of its kinematics, workspace, and programming versatility.


• Through this introductory lab, we not only gained proficiency in operating the UR5 using Polyscope, RoboDK, and URScript but also developed a comprehensive understanding of the robot's functionalities. The hands-on experience of how to move the robot through different way points and finally draw a cube by moving the robot arm through it’s 8 vertices. This foundational knowledge is invaluable for further exploration and application of the UR5 in diverse automation scenarios.

Link : Github.