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Name: Upasana Mahanti

Type: User

Company: TESLA

Bio: Robotics Engineering Grad student at Worcester Polytechnic Institute

Location: Austin

Upasana Mahanti's Projects

autonomous-navigation-of-mobile-manipulator

The project involves the design and simulation of a mobile robot that is capable of navigating through a complex simulated environment space and manipulating an object after reaching to the target place

autonomous-vehicle-path-planning-in-parking-lots

This project aims to develop a solution for autonomous vehicle path planning in parking lots. The solution combines motion planning and collision avoidance algorithms to enable vehicles to navigate and park in tight spaces. A simulated world is created using a 2D grid, where different vehicle types are placed in a compact space.

bfs-dfs-dijikstra-search-algorithms-for-a-point-robot

The point robot starts in the Northwest corner of the world and travels to the Southeast corner. Stationary obstacles are placed randomly according to a preset density, which the robot must avoid.

camera-application

Computer Vision

control-of-scara-robot-in-gazebo

RBE 500 project

cv

computer vision

emclaw

Solvers for Maxwell's electrodynamic equations with time-space varying coefficients based on PyClaw

extraction-of-mainshaft-from-transmission-case-using-rrt-planner

Designed an RRT-based motion planning algorithm to safely extract the main shaft from the transmission case, without causing any damage to the surrounding components during the removal process.

grasping-assuming-symmtery

Vision based manipulation

motion-planning-for-firefighting-truck

This project aims to develop a motion planning algorithm for a firetruck, which is responsible for determining the most critical fire to extinguish while also accounting for newly occurring fires and spreading flames. The implementation is carried out using the Python pygame library, and the environment is simulated as a two-dimensional grid world.

real-time-instance-segmentation

Real Time Instance Segmentation using Modified YOLACT

robot-control

Modern Control Theory

robust-trajectory-tracking-for-quadrotor-uavs-using-sliding-mode-control

This project focuses on designing a sliding mode controller for altitude and attitude control of the Crazyflie 2.0 quadrotor. The goal is to enable the quadrotor to track desired trajectories and visit a set of desired waypoints. The project is built on Ubuntu 20.04 and ROS Noetic.

sfm

Structure From Motion

shiveworks

ShiveWorks - a dynamic material research project at WPI

tsp-genetic-algorithm

The goal of this project is to implement and assemble the components of a genetic algorithm to find good solutions for efficiently traversing the graph of Los Angeles. By iteratively improving candidate solutions through selection, crossover, and mutation, the algorithm aims to approximate the optimal solution for the TSP.

vision-based-manipulation

Visual Servoing Implementation for a 2-DOF Robot

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