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6.141-spring-2016-team-5-documentation

Here is the GitHub Pages online documentation written by Team 5 for the spring 2016 rendition of 6.141: Robotics Science & Systems.

ae-project

Project for the course EL2320 Applied Estimation at KTH - Distributed Multi-Robot Localization

aerostack

Repository for Aerostack, a software framework for autonomous multi-robot unmanned aerial systems

aerostack_installer

This is the repository for the installation of Aerostack

android_apps

Applications built on top of the rosjava android libraries.

android_remocons

Android based remote controllers for 1-1 robot pairing and multi-robot concerts.

artificial-potential-field

Implementation of Artificial Potential Field (Reactive Method of Motion Planing)

autorally

Software for the AutoRally platform

autorally_platform_instructions

Complete instructions to build your own AutoRally platform

autorccar

OpenCV Python Neural Network Autonomous RC Car

autoware

Open-Source To Self-Driving.

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

bezier-steepestdescent

Flight Paths - Bezier curve generation with Gaussian noise, deduction of original curve using steepest descent method, and plotting/analysis of all data

bwsi2017

MIT BWSI 2017 RACECAR. Features OpenCV vision, AR tracking, local potential field control, pure pursuit algorithm implementation, state machine, PID controllers, wall following, and more. ROS/Python.

car_demo

catalst-robot-formations-simulator

This is the version of Ross Mead's multi-robot formations simulator modified by Rob Long for the thesis "Distributed Auction-Based Initialization of Mobile Robot Formations"

cherry-autonomous-racecar

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

codrha_local_planner

Distributed multi-robot local motion planner plugin for ROS navigation stack

collisionavoidance

Multi-Robot Collision Avoidance using Reinforcement Learning

computervision-shubh

Computer vision pipeline for autonomous ground vehicles

consensus-problem

Distributed agents consensus problem, matlab code

controls

rudimentary potential field simulations

cooperative-control

Masters project, designing a multi-vehicle control system.

cosphi

Artificial pheromone system

cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

cvg_ardrone2_ibvs

We present a vision based control strategy for tracking and following objects using an Unmanned Aerial Vehicle. We have developed an image based visual servoing method that uses only a forward looking camera for tracking and following objects from a multi-rotor UAV, without any dependence on GPS systems. Our proposed method tracks a user specified object continuously while maintaining a fixed distance from the object and also simultaneously keeping it in the center of the image plane. The algorithm is validated using a Parrot AR Drone 2.0 in outdoor conditions while tracking and following people, occlusions and also fast moving objects; showing the robustness of the proposed systems against perturbations and illumination changes. Our experiments show that the system is able to track a great variety of objects present in suburban areas, among others: people, windows, AC machines, cars and plants. urls: http://www.vision4uav.eu/?q=following and http://robotics.asu.edu/ardrone2_ibvs/ .

cvg_quadrotor_swarm

We present a cost-effective framework for the prototyping of vision-based quadrotor multi-robot systems, which core characteristics are: modularity, compatibility with different platforms and being flight-proven. The framework is fully operative, which works in simulation and in real flight tests of up to 5 drones, and was demonstrated with the participation in the 2013 International Micro Air Vehicle Indoor Flight Competition (Toulouse, France).

darknet

Convolutional Neural Networks

darknetfaceid

A YOLO darknet implementation of facial recognition from automatic annotation of facial images.

dcrn

Distributed Control of Robotic Networks