About Innovations Lab
Background
As a Model-Based Developer, I specialize in the development of low-cost hardware and control systems, with a focus on flexible manipulators in my robotics lab. My role involves integrating hardware components such as DC motors, encoders, motor drivers, and accelerometer sensors with MATLAB and Arduino platforms. My expertise lies in robotics research, developing control algorithms for flexible manipulators, including trajectory tracking and vibration reduction using level-1 S-functions in MATLAB. Additionally, I have experience in mathematical modelling, simulation, and optimization techniques to enhance controller performance. My work has been recognized through publications in reputable journals.
Skills
I possess a robust skill set in system modeling, control schemes, analysis and modeling, with a strong focus on robotics research and control systems. Proficient in MATLAB, Simulink, SolidWorks, Scilab, Simscape, Arduino, V-rep, C/C++, and Raspberry Pi, I have developed and optimized control techniques for flexible link manipulators and mobile robots. My expertise includes designing Lyapunov-based, PID, sliding mode, and optimal robust controllers. Complementing my technical abilities are strong professional skills in teamwork, communication, problem-solving, and attention to detail.
Education
I am currently pursuing a Ph.D. in Electrical Engineering at Jadavpur University, Kolkata. Previously, I earned an M.Tech. in Electrical Engineering from the National Institute of Technology, Sikkim, where I graduated with distinction. I also hold a B.Tech. in Electrical Engineering from Adamas Institute of Technology (AIT) in Kolkata. My educational journey has been marked by rigorous coursework, extensive research projects, and a commitment to academic excellence.
Projects
Acousticcardiogram
August 2024–October 2024
Incupie Technologies Privated Limited, Bangalore, India
Project Details:
· This project implements heartbeat monitoring by using Frequency Modulated Continuous Wave (FMCW) sonar techniques.
· It leverages a speaker to play an inaudible chirp signal and a microphone to capture the reflected signals from the user's chest.
· By analyzing phase shifts in the reflected signals, the heartbeat rate is estimated in beats per minute (BPM).
development of neural network framework in C
February 2024–August 2024
Incupie Technologies Privated Limited, Bangalore, India
Project Details:
· A Modular Neural Network and Neural Network Framework have been developed using the C programming language.
Design and development of the control techniques for vibration reduction and trajectory tracking of Flexible link manipulator.
August 2019–Present
Control System Lab (CSL), Jadavpur University, Kolkata, India
Supervisor: Prof. (Dr.) Ranjit Kumar Barai
Project Details:
· Single link and two link flexible manipulators have been modelled using lumped parameter method and assumed mode method.
· Different control techniques have been developed for trajectory tracking and vibration reduction of the two link flexible link manipulator.
· Optimization techniques has also been developed for tuning the gain parameters used in the design of the controllers.
Low-cost hardware development of Single link flexible manipulator by interfacing Arduino with Matlab.
August 2019–October 2022
Mechatronics Lab (ML), Jadavpur University, Kolkata, India
Supervisor: Prof. (Dr.) Ranjit Kumar Barai
Project Details:
· DC motor with encoder, motor driver and an accelerometer sensor have been used and interfaced with MATLAB. The physical model has been developed from scratch. The sensors have been calibrated in matlab.
· The encoder measures the angular position and speed of rotation. Accelerometer has been used to measure the link deflection.
· The controller logics has been developed in the Matlab and uploaded to Arduino.
Quadrotor Trajectory Tracking and Control
July 2018–June 2019
National Institute of Technology Sikkim, India
Supervisor: Dr. Anjan Kumar Ray
Project Details:
· Lyapunov based controller has been developed for the trajectory tracking of Quadrotor.
· The three dimensional desire trajectories have been considered as: Set-point trajectory; Spiral trajectory; Circular trajectory at the horizontal plane at certain height from the ground; Tilted Circular trajectory.
· The whole operation has been performed in Scilab software.
Development of a Four wheeled controlled mobile robot using Raspberry Pi for avoiding Static obstacles.
July 2018–June 2019
Control system Lab, National Institute of Technology, Sikkim, India
Supervisor:Dr. Anjan Kumar Ray
Project Details:
· Ultrasonic sensors, motor drivers and four dc motors have been used to developed the hardware. Python programming language has been used to write the control logic.
· The wired connection between the Raspberry Pi and PC has been established using Putty software.
· For the wireless connection, Wi-Fi adapter has been placed in the Raspberry Pi and VNC viewer has been installed in PC.
Obstacle Avoiding Robot
January 2015–January 2016
Adamas Institute of technology, Kolkata, India
Supervisor: Prof. Suchibrata Pradhan
Project Details:
· Infrared sensor, voltage regulator, two dc motors, NOT gate, motor driver and Voltage regulator have been used to developed the hardware.
· Two infrared sensors have been placed at the front in such a way that it will protect the front and the corners of the robot vehicle from the static and moving obstacles.