All Projects → aws-robotics → aws-robomaker-robotics-curriculum

aws-robotics / aws-robomaker-robotics-curriculum

Licence: CC-BY-4.0 license
Introductory robotics curriculum

Programming Languages

HTML
75241 projects
SCSS
7915 projects
CSS
56736 projects
TeX
3793 projects
ruby
36898 projects - #4 most used programming language

Projects that are alternatives of or similar to aws-robomaker-robotics-curriculum

drl grasping
Deep Reinforcement Learning for Robotic Grasping from Octrees
Stars: ✭ 160 (+105.13%)
Mutual labels:  ros, gazebo, ros2
linorobot2
Autonomous mobile robots (2WD, 4WD, Mecanum Drive)
Stars: ✭ 97 (+24.36%)
Mutual labels:  ros, gazebo, ros2
ur ws
Universal robot with robotiq hand workspace
Stars: ✭ 21 (-73.08%)
Mutual labels:  ros, gazebo
gazebo cars
Gazebo Models for different types of cars
Stars: ✭ 31 (-60.26%)
Mutual labels:  ros, gazebo
DDPG
End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
Stars: ✭ 41 (-47.44%)
Mutual labels:  ros, gazebo
conde simulator
Autonomous Driving Simulator for the Portuguese Robotics Open
Stars: ✭ 31 (-60.26%)
Mutual labels:  ros, gazebo
Awesome Robotic Tooling
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
Stars: ✭ 1,876 (+2305.13%)
Mutual labels:  ros, ros2
isaac ros apriltag
CUDA-accelerated Apriltag detection
Stars: ✭ 42 (-46.15%)
Mutual labels:  ros, ros2
astuff sensor msgs
A set of messages specific to each sensor supported by AutonomouStuff.
Stars: ✭ 37 (-52.56%)
Mutual labels:  ros, ros2
arm
Robot arm simulation using Gazebo, ROS Control and MoveIt.
Stars: ✭ 79 (+1.28%)
Mutual labels:  ros, gazebo
PROBOT Anno
ROS Packages for PROBOT Anno.
Stars: ✭ 75 (-3.85%)
Mutual labels:  ros, gazebo
wpr simulation
No description or website provided.
Stars: ✭ 24 (-69.23%)
Mutual labels:  ros, gazebo
awesome-webots
Awesome Webots
Stars: ✭ 46 (-41.03%)
Mutual labels:  ros, ros2
dockerfiles
Dockerfiles I use for development
Stars: ✭ 64 (-17.95%)
Mutual labels:  gazebo, ros2
turtlebot rrt
Rapidly Exploring Random Tree (RRT) global path planning plugin for ROS Kinetic Kame
Stars: ✭ 86 (+10.26%)
Mutual labels:  ros, gazebo
KRS
The Kria Robotics Stack (KRS) is a ROS 2 superset for industry, an integrated set of robot libraries and utilities to accelerate the development, maintenance and commercialization of industrial-grade robotic solutions while using adaptive computing.
Stars: ✭ 26 (-66.67%)
Mutual labels:  ros, ros2
rclex
Rclex: ROS 2 Client Library for Elixir
Stars: ✭ 77 (-1.28%)
Mutual labels:  ros, ros2
summit xl sim
Packages for the simulation of the Summit XL, Summit XL HL and Summit-X (including X-WAM) robots
Stars: ✭ 32 (-58.97%)
Mutual labels:  ros, gazebo
isaac ros visual odometry
Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.
Stars: ✭ 101 (+29.49%)
Mutual labels:  ros, ros2
aws-robomaker-hospital-world
This Gazebo world is well suited for organizations who are building and testing robot applications in hospitals.
Stars: ✭ 114 (+46.15%)
Mutual labels:  ros, gazebo

AWS RoboMaker Robotics Curriculum

ros-cloud

Introductory cloud robotics curriculum, designed to help students and entry level developers get started building robot applications with the open source Robot Operating System (ROS) and Amazon Web Services (AWS). The curriculum was developed in collaboration with Alberto Quattrini Li, Assistant Professor of Computer Science at Dartmouth University. To get started, instructors and students can access the materials by joining AWS Educate for free. For users outside of AWS Educate, the curriculum can be accessed through this repository and build locally.

Developed to be modular, the first three courses span prerequisite topics and basic skills necessary for robotics development using ROS, including:

  • Fundamentals of Robotics: this course introduces the basics of robotics, with an overview on robot components, modeling, and main problems to solve, to achieve a fully autonomous system. Primary learning objectives include providing insights to understand robotics hardware and software, and getting students comfortable working with a robotics system capable of executing tasks in a real environment.

  • Getting Started with ROS: this course walks students through setting up a Linux and Robot Operating System (ROS) development environment. The primary learning objective is to get students comfortable with ROS, and how to write ROS programs to control robots.

  • Getting Started with AWS: this course guides students through setting up the robot development environment in the cloud utilizing AWS RoboMaker. The objectives of this course include understanding the cloud development environment, preparing to write programs for robots in the cloud, and integration with various AWS cloud services.

Stay tuned for subsequent courses and tutorials focusing on intermediate and advanced topics with ROS 2.

robot-fleet

Security

See CONTRIBUTING for more information.

License

This content is licensed under the CC-BY-4.0 License.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].