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Mohammad Dehghani and his autonomous car

Hi, I'm Mike Degany in my yellow self-driving car 👋

  • :octocat: I am a CS Ph.D. candidate and a mechatronic engineer with a keen interest in autonomous vehicles and mobile robots.

  • 🎓 I am PhD candidate in Computer Science at the University of North Texas and graduated in Mechatronics from Amirkabir University of Technology-Tehran Polytechnic.

  • 💻 I love coding C++ for Robots and Autonomous Vehicles.

  • 📬 You can reach me at [email protected]

  • 🚀 Take a look at my personal webpage MikeDegany.github.io to know more about me and my work. Follow me at LinkedIn (@MikeDegany) to stay connected.

    LinkedIn

Mike Degany's Projects

costmap_converter icon costmap_converter

A ros package that includes plugins and nodes to convert occupied costmap2d cells to primitive types

dosl icon dosl

Discrete Optimal Search Library (DOSL): A template-based C++ library for searching, path-finding and exploring discrete spaces such as graphs and simplicial complexes

globalplanner icon globalplanner

The implementation of a global planner using A* algorithm as a plugin for ROS-Navigation stack.

ili9325_mmc icon ili9325_mmc

Run a SD card and a Graphic Display to show Pictures using AVR microcontrollers.

multislam_toolbox icon multislam_toolbox

Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS

navigation icon navigation

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

pin_slam icon pin_slam

📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency

ros_kortex icon ros_kortex

ROS packages for KINOVA® KORTEX™ robotic arms

teb_local_planner icon teb_local_planner

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

tf_relay icon tf_relay

ROS 2 node for republishing the /tf topics with /namespace/tf

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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