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aa203-notes

Course notes for AA203

als_ros

An advanced localization system for ROS use.

amr-lmpcc

anomaly_navigation

Anomaly Navigation - ANNA

apg_trajectory_tracking

Training efficient drone controllers with Analytic Policy Gradient

apollo

An open autonomous driving platform

astrobee

NASA Astrobee Robot Software

atom

Calibration tools for multi-sensor, multi-modal, robotic systems

autobopfirmware

Firmware for the Autonomous Parrot Bebop 2 Drone.

autoboptestenvironment

TestEnvironment for the Autonomous Parrot Bebop 2 Drone.

autonomousdrivingcookbook

Scenarios, tutorials and demos for Autonomous Driving

backpropneuralnet

badgr

ball_follower

A ROS package to make a simulated differential drive robot move in the direction of an object lying in front of it.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bdsim

Simulate dynamic systems expressed in block diagram form using Python

behaviortree.cpp

Behavior Trees Library in C++. Batteries included.

big_bot_description

Big bot is a six-wheeled robot used to generate a 3D map simulation of a V-shaped cave structure

bugs

ROS package implementing bug 0, 1, and 2 in Python

c-plus-plus

All Algorithms implemented in C++

cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

carbot

ros robot with car-like steering

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

cs-video-courses

List of Computer Science courses with video lectures.

cvae_exploration_planning

Learning informed sampling distributions and information gains for efficient exploration planning.

dagger

Reinforcement Learning -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

data-driven-dynamics

Data Driven Dynamics Modeling for Aerial Vehicles

dcpcr

DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments

deep-point-map-compression