Kavit Shah

Kavit Shah

MS in Robotics

Worcester Polytechnic Institute

Biography

Kavit is a graduate student and a student researcher at Worcester Polytechnic Institute. His research interest is in Motion Planning and Controls for autonomous robot navigation. He is a passionate software developer and enthusiastic about new inventions. Apart from academics, he is a swimmer, reader & an avid astrophile.

Vision : His vision is to develop the autonomy technology to assist humans in all walks of life.

Download my resumé.

Interests
  • Motion Planning
  • Obstacle Avoidance
  • Autonomous Robot Navigation
Education
  • MS in Robotics, 2021

    Worcester Polytechnic Institute

  • BTech in Mechanical Engineering, 2019

    Sardar Patel College of Engineering

Skills

C++
ROS
Git
Python
Linux
OpenCV
SolidWorks
PyTorch
Augmented Reality

Experience

 
 
 
 
 
Student Researcher (Motion Planning)
Worcester Polytechnic Institute
Aug 2020 – Present Massachusetts
Developing autonomous & assistive-autonomous robot navigation algorithm for smart tele-operated nursing robots to deployed in hospitals.
 
 
 
 
 
Graduate Learning Assistant
Worcester Polytechnic Institute
Aug 2020 – Dec 2020 Massachusetts
Taught calculus 4 and linear algebra to freshmen and sophomore students.
 
 
 
 
 
Student Researcher (MEMS)
Sardar Patel Institute of Technology
Jan 2019 – Aug 2019 Mumbai
Achieved 10% design optimization of micro-cantilever beams for improved bio-sensing
 
 
 
 
 
Trainee Student
Air India
Dec 2017 – Jan 2018 Mumbai
Managed aircraft re-construction and maintanenance activites of Boeing 777, Boeing 737 & Boeing 747-ER

Projects

6-DOF platform for organ motion simulation

Engineered and simulated a 6-dof hexapod to mimic organ motion for effective robotic surgery
6-DOF platform for organ motion simulation

ABU Robocon 2018

A pan-asia robotics challenge
ABU Robocon 2018

Combining A* and RRT* for autonomous indoor navigation of mobile robots

Developed a motion planning stack by combining multiple algorithms for effective indoor navigation.
Combining A* and RRT* for autonomous indoor navigation of mobile robots

Dynamic motion planning for autonomous and semi-autonomous mobile robot navigation

Developing a dynamic motion planning approach with active obstacle avoidance for mobile robots by planning in velocity spaces
Dynamic motion planning for autonomous and semi-autonomous mobile robot navigation

Maze Solving with Search Algorithms

Solved a py-game generated maze using different search algorithm such as A*, Weighted A*, BFS, DFS, Dijkstra
Maze Solving with Search Algorithms

MPC controller for ADAS applications

Developed an MPC-based trajectory tracking controller for combined velocity and steering control.
MPC controller for ADAS applications

RoboNav - Autonomous robot navigation using reinforcement Learning

Trained robot agent on DQN and DDPG to autonomously navigate in an indoor dynamic environment
RoboNav - Autonomous robot navigation using reinforcement Learning

RTAB-Map for indoor 3d mapping using mobile robot

Implemented an appearance-based graph-SLAM technique to generate a 3d map of indoor environment using turtlebot
RTAB-Map for indoor 3d mapping using mobile robot

Visualization Enhancement of NDT data using Augmented Reality

Developed a novel framework for visualizing surface defects on specimen using Augmented Reality
Visualization Enhancement of NDT data using Augmented Reality

Accomplish­ments

C++ (Basic)
See certificate
Robotics Software Engineer
See certificate
Course on CATIA V5
Certified user of CATIA V5, a highly versatile 3D modelling software

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