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neuronaldynamics-exercises

Python exercises accompanying the book "Neuronal Dynamics"

njit-control_systems-application_studies

Application Studies for Control Systems Design

nlp-machine_translation

Build a deep neural network that functions as part of an end-to-end machine translation pipeline. Your completed pipeline will accept English text as input and return the French translation. You’ll be able to explore several recurrent neural network architectures and compare their performance.

ohara124c41

My personal GitHub page ;)

openmct

A web based mission control framework.

openvino-edge-people_counter

other-courses

p300_bci_eeg

planex

Planetary Exploration and Space Robotics

pmnd-project_management_nanodegree

Udacity Project Manager Nanodegree Coursework

rl-quadcopter

Teach a Quadcopter How to Fly!

rll_path_planning_project

robond-autonomous_search_rover

Wrote a computer vision pipeline (using Python and OpenCV) to perform color thresholding, as well as perspective and coordinate transforms to complete the task of autonomous mapping and navigation in a simulated (Unity) environment.

robond-follow_me

Built and trained an FCN to find a specific person in images from a simulated quad-copter. FCN trained using Keras, TensorFlow and AWS services.

robond-kinematics-kuka-kr210

Solved the Inverse Kinematics problem for a six degree-of-freedom robotic arm (Kuka KR210) in a simulated environment to complete a pick-and-place operation. (implemented using ROS, Gazebo and RViz).

robond-pr2-3d_perception

Created a perception pipeline to perform object recognition, then successfully completed a tabletop pick and place operation using a PR2 robot in simulation.

robond-rover-project

Project repository for the Unity rover search and sample return project.

robotics-micromasters

robotics-specialization

Projects, lecture notes and information related to the Robotic's Specialization on Coursera via University of Pennsylvania

rsend-home_service_robot

Combined AI paradigms to build a home service robot that can map, localize, and navigate to perform household tasks, moving from one room to another autonomously.

rsend-kuka-deeprl_arm

rsend-localization-whereami

Autonomous localization project. This project utilizes ROS packages to accurately localize a mobile robot inside a provided map in the Gazebo and RViz simulation environments. The project used the AMCL and the Navigation Stack in ROS.

rsend-map_my_world

Simultaneous Localization and Mapping (SLAM) can be implemented a number of ways in robotics depending on the sensors used via various ROS packages that exist. This project uses a ROS SLAM package and simulated sensor data to create an agent that can both map the world around it and localize within it.

rsend-robotic_inference

Designed a robotic system using inference. Created a project idea, collected data set for classification, and justified network design choices based on technical analysis of accuracy and speed on the target system.

sdcnd-lane_lines

Self-Driving Car project to detect lane lines in images using Python and OpenCV.

sdcnd-lanelines-p1

self-driving-car

The Udacity open source self-driving car project

sfnd-radar-target_generation-n-detection

Calibrate, threshold, and filter radar data to detect obstacles in real radar data. Analyze radar signatures to detect and track objects. Calculate velocity and orientation by correcting for radial velocity distortions, noise, and occlusions.

sfnd_2d_feature_tracking

The idea of the camera course is to build a collision detection system. You will now build the feature tracking part and test various detector / descriptor combinations to see which ones perform best.

sfnd_3d_object_tracking

Detect and track objects from the benchmark KITTI dataset. Classify those objects and project them into three dimensions. Fuse those projections together with LiDAR data to create 3D objects to track over time.