SS.

Hi, I'm Sandip Sharan Senthil Kumar

A Graduate Student Looking for Full-time opportunities in Robotics

Currently pursuing Master's in Robotics Engineering at University of Maryland-College Park. A meticulous and organized individual seeking full-time opportunities in the field of Robotics focusing on Machine learning and Computer Vision, willing to transform into a professional from a fresher as fast as possible by applying the best of my technical knowledge and skills

Resume

Projects

3D Inspection using NerF

Developed an innovative 3D inspection framework

Integrated modified HF-NeuS and DeepCrack

Layed the groundwork for precise 3D crack inspection

Underwater Image Restoration

Built a DNN model for getting the depth map of the input image

Pre-processed the depth map and estimated the illuminant map, and the wideband attenuation coefficient

Restored the image using the estimated attenuation coefficient value

Gesture-Based Virtual Car Driving System

Used Google's Media Pipe model to extract hand’s key points and estimate the angle between them

Trained a Feed Forward Neural Network (FFNN) with a custom dataset to classify gestures

Implemented the live Gesture control for Turtlebot using Gazebo, ROS

Weighted A-star algorithm for Turtle Bot using ROS2

Implemented A* algorithm for path planning of a TurtleBot in a custom map containing random obstacles

Utilized the ROS2 framework to simulate the robot's movement within the obstacle space

Successfully integrated the A* algorithm with the ROS2 simulation and visualized them in Gazebo

Martian Rover

Designed and Simulated Martian Rover using Solidworks and Gazebo.

Formulated Kinematics and Dynamics for each links of the rover and the robotic arm

Controlled the rover using ROS in a simulated gazebo environment similar to the Martian world

Maze Robot

Implemented wall-following algorithm in the robot for solving the maze in C++

Robot's Work: Detect the walls, Setting the walls, Change the color of the cell after passing, and halt when it reaches the goal

Implemented the algorithm for the robot to return back to its original position

LQR and LQG Controller

Implemented the LQR and LQG Controller for a frictionless cart with masses attached to it

Calculated the equations of motion for system

Implemented the controllers for both non-linear and linearized system and simulating the response for initial condition and step input

Multi-Purpose Rover

Designed and developed a Multi-Purpose Rover which can be used in different fields just by changing the end-effector.

Usage Areas:

x Floor Sanitization- Medical

x Landmine Detection - Military

x Soil collection - Space Exploration

Technical-Report

Reimplemented Coordinated Manipulator/Spacecraft Motion Control For Space Robotic Systems by Evangelos Papadopoulos Steven Dubowsky

Simulated the example given in the paper using MATLAB Simulink

Skills

Contact

Email me