Research

Project I Title
Project description, including further links to posters, talks, publications.

Project II Title
Project description, including further links to posters, talks, publications.

Teaching

Hey, here I provide some materials that I watched and I recommend if you want to go into robotics and AI.

Deep Neural Networks:

  1. Deep Learning from Prof. Andreas Geiger (University of Tübingen)
  2. Online book: Dive into Deep Learning (nice examples with PyTorch)
  3. Mathematics for Machine Learning
  4. Fundamentals of Deep Learning, Prof David MvAllester (Toyota Technological Institute at Chicago)
  5. Introduction to Deep Learning, Prof. Matthias Niessner (TUM)
  6. Deep Unsupervised Learning, Prof. Matthias Abbeel (University of Berkeley) - this one is hardcore :)
  7. PyTorch tutorial

Autonomous Navigation (SLAM):

Computer Vision/Photogrammetry:

  • Deep Learning for Computer Vision, Justin Johnson (University of Michigan)
  • Convolutional Neural Networks for Visual Recognition, Prof Fei-Fei Li (Stanford)
  • Udacity introduction to Computer Vision (for free) (GeorgiaTech)
  • Photogrammetry I, Prof. Cyrill Stachniss (University of Bonn)
  • Photogrammetry II, Prof. Cyrill Stachniss (University of Bonn)

    • Robotics (Dynamics/Control):

  • Robotic Manipulation, Prof. Tedrake (MIT)
  • Underactuated Robotics, Prof. Tedrake (MIT)
  • Introduction to Robotics, Prof. Khatib (Stanford)
  • Robotics I, Prof. De Luca (Sampienza Rome)
  • Robotics II, Prof. De Luca (Sampienza Rome)
  • Control of Mobile Robots, Dr. Magnus Egerstedt (Georgia Tech)

    • CUDA:

  • Heterogeneous Parallel Programming - CUDA PROGRAMING,Prof. Wen-mei Hwu (University of Illinois)
  • CUDA programming Masterclass with C++

    • CMake:

  • Master CMake for Cross-Platform C++ Project Building
  • More Modern CMake - Deniz Bahadir - Meeting C++ 2018
  • C++Now 2017: Daniel Pfeifer “Effective CMake
  • Oh No! More Modern CMake - Deniz Bahadir - Meeting C++ 2019

    • Software development:

  • Docker Mastery: with Kubernetes +Swarm from a Docker Captain
  • GitLab CI: Pipelines, CI/CD and DevOps for Beginners

    • Githubs:

    Self-driving cars datasets:

  • Ford Dataset
  • Ford Dataset