akhopkar01
Robotics Graduate student at University of Maryland, College Park. Driven by passion to serve in this field to contribute for a better tomorrow.
College Park, Maryland
Pinned Repositories
Control-of-Mobility-on-Demand-
Using concepts of queueing theory to control the mobility on demand of network of autonomous vehicles.
Data-structures-and-Algorithms
This Repository consists of all the exercises in Data Structures and Algorithm Udacity nanodegree program
Delta-Robot-modelling
Simulation of a parallel manipulator- delta robot
fully-connected-neural-network-image-and-text-classification-
Part of CMSC498L coursework. In this project, we implement binary classification of Images and Movie Reviews by implementing standard strategies of a two-layer fully-connected nerual network. SGD is used as an optimizer. The project contains the python notebook, which will give an in-depth walk-through through the steps adopted to train the model.
lyft-l5-trajectory-prediction
GRIP++ implementation
Object-Tracking-for-Self-Driving-Cars
ENPM808X Software Development for Robotics
ros-pub-sub-demo
self-adjusting-roadmaps
turtlebot_inspection_bot
This project is for Anomaly Detection in an environment using the Turtlebot 3 robot. The software package is built and tested using ROS Melodic and Gazebo simulation environment.
visual-odometry-sfm
akhopkar01's Repositories
akhopkar01/lyft-l5-trajectory-prediction
GRIP++ implementation
akhopkar01/Control-of-Mobility-on-Demand-
Using concepts of queueing theory to control the mobility on demand of network of autonomous vehicles.
akhopkar01/Data-structures-and-Algorithms
This Repository consists of all the exercises in Data Structures and Algorithm Udacity nanodegree program
akhopkar01/Object-Detection-for-Self-Driving-Cars
CMSC498L Deep Learning final project- Object detection for autonomous vehicles by implementing pre-trained yolo model on COCO dataset and present a comparative study of single stage detectors
akhopkar01/fully-connected-neural-network-image-and-text-classification-
Part of CMSC498L coursework. In this project, we implement binary classification of Images and Movie Reviews by implementing standard strategies of a two-layer fully-connected nerual network. SGD is used as an optimizer. The project contains the python notebook, which will give an in-depth walk-through through the steps adopted to train the model.
akhopkar01/Object-Tracking-for-Self-Driving-Cars
ENPM808X Software Development for Robotics
akhopkar01/ros-pub-sub-demo
akhopkar01/self-adjusting-roadmaps
akhopkar01/spotify-analyzed
ML algorithms with data visualization on Spotify Dataset (kNN, Regression, FCN)
akhopkar01/turtlebot_inspection_bot
This project is for Anomaly Detection in an environment using the Turtlebot 3 robot. The software package is built and tested using ROS Melodic and Gazebo simulation environment.
akhopkar01/visual-odometry-sfm
akhopkar01/ai-ml-algorithms
akhopkar01/AR-tag-detection-and-tracking
ENPM673 Project: Detecting an AR tag in a video file and implementing augmented reality applications in the video
akhopkar01/CMSC498L_HW2
akhopkar01/Color-segmentation-using-GMM-for-AUVs
ENPM673 Coursework project - Implementing Expectation Maximization Techniques to segment colors of the bouys in the video
akhopkar01/Curve-Fitting-enpm673
Implemented curve fitting technique using least square error method and robust fitting - RANSAC on a dummy dataset from scratch. Implemented on python
akhopkar01/ENPM661
Path Planning for Autonomous Robots coursework
akhopkar01/enpm667-final-project
Implementing an LQR controller on pendulum cart.
akhopkar01/Eye-Controlled-Wheelchair
Senior Capstone
akhopkar01/Image-Classification-using-CNNs
Final Project of Course ENPM673; Implementation done in PyTorch
akhopkar01/Lane-Detection-for-autonomous-vehicles
ENPM673 Coursework project: Lane Detection and optimization. Using OpenCV to pre-process video files for better quality and implement lane detection strategy
akhopkar01/Maze-Solver-With-recursion
Solving Maze using Recursion Functions in C++
akhopkar01/OOPL-Skeleton-Example
akhopkar01/PID_controller
Simple cpp boilerplate with cmake and gtest
akhopkar01/software_dev_boilerplate
This is a startup project in Software Development. If you're new to software development, Try out this project
akhopkar01/SurfExtract
The application extracts a point cloud from all visible surfaces of a mesh model; it ignores all hidden surfaces.
akhopkar01/template-tracker-lucas-kanade
This is the repository for the project - Template Tracker implemented using the Lucas Kanade tracking algorithm.
akhopkar01/turtlebot-walker
Turtlebot simulation ROS package
akhopkar01/Ubuntu-16.04-package-installation-guide
For Windows Users who are diving into Ubuntu, This is an instructional guide to install Packages and getting started with ubuntu. Walkthrough to install - Python, pip, Git, ROS, NVIDIA Drivers
akhopkar01/valgrind-boilerplate