We’ll use an object detection robot as an example to show how AWS RoboMaker can help you build the robot of your dreams. We’ll do a deep dive into the architecture of our robot application. You’ll learn how it uses various AWS services to detect and react to objects. Along the way, we’ll show you how AWS RoboMaker makes it easy to develop and test such applications. Finally, we’ll dive into how AWS RoboMaker deploys your application to a fleet of robots.

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Build And Deploy Robot
Applications Easily With AWS
Gaurav Ghare
Principal Engineer
AWS RoboMaker
R O B 3 0 2 - R

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Agenda
Introduction to robot application development lifecycle
Architecture of an object finder robot application
Develop and test with AWS RoboMaker
Deep dive into AWS RoboMaker deployments
How can we help build your robots?

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Related breakouts
Wednesday, November 28
ROS and AWS RoboMaker
11:30AM – 12:30PM | MGM, Level 1, South Concourse 104
Friday, November 30
AWS RoboMaker for Reinforcement Learning
8:30AM – 9:30AM | Venetian, Level 3, Murano 3202
Friday, November 30
Introduction to Simulation with AWS RoboMaker
10:45AM – 11:45AM | Mirage, Antigua B

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Robot application development lifecycle
Iterate
Choose a platform e.g. OS, robot middleware
Develop the application
Simulate and test
Deploy to a physical robot

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Object finder application
Operating system e.g. Ubuntu
Robot middleware e.g ROS
Object
detection
Voice
interactions
Logic
Image
capture
Monitoring
Logarchival
OTA
Navigation

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ROS concepts
ROS is a robot software framework
Nodes are processes that perform computation
Topics and messages can be used for publish/subscribe communication
Services can be used for request/reply communication

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Object finder application with AWS
Operating system e.g. Ubuntu
Robot middleware e.g ROS
Logic
Image
capture
Navigation

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Robot simulation
Enables rapid development and testing
Enables testing scenarios hard to create in the real world
Can be used for regression testing
Used for reinforcement learning

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Gazebo
Simulator commonly used with ROS
Open Dynamics Engine (ODE) commonly used for physics
OGRE graphics rendering engine
Integrates with ROS via gazebo_ros_pkgs

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Sample world

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Development pain points
Installation and set up
Modeling dependencies, repeatability
Simulation infrastructure , large scale simulations, regression testing
Deployments to physical robots and monitoring

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AWS RoboMaker architecture
Developers
AWS Cloud
Robot
rviz
Gazebo
rqt

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AWS RoboMaker Simulation
Job log files
S3 bucket
Rosbags Simulation
logs
AWS Services
rviz
Gazebo
rqt
Terminal
S3 bucket
Simulation
application
Robot
application
Simulation instance
Customer VPC
ENI NAT
Gateway

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Fleet management
Launch file
Fleet Management Deployment
Robot
Fleet
Robot Robot
Robot
Application
Robot
(X86_64, ARMHF, ARM64)
Thing Deployment
Code
Greengrass Group
Greengrass
Core
Deployment
Code
S3 Bucket
Robot
Application
Package name
Prelaunch file
Launch file
Postlaunch file
Environment variables
Reference
Download
Fleet Management

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Deploying to a fleet
👍 👎👍 👍 👍 👍 👍👎
Deployment Job (10 Robots)

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18. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Gaurav Ghare
gauravg@amazon.com

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