AWS RoboMaker enables you to easily develop complex robot applications. In this workshop, we introduce the capabilities of RoboMaker to develop ROS robot and simulation applications, natively integrate with other AWS services such as Amazon CloudWatch and Amazon Kinesis video streams, and build and compile these applications. Upon completion, you will launch a simulated TurtleBot3 wheeled robot to look at different images within an enclosed space utilizing Amazon Rekognition’s object detection features, and track down that pesky pooch’s photo! After the workshop, you will have a fundamental understanding of the development process for robotic applications using AWS RoboMaker.

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Use AWS RoboMaker to Develop a
Robot Application to Track and
Find Fido
Gavin Adams
IoT Specialist Solutions Architect
AWS
Andrew Lafranchise
Sr. SDE
AWS

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Agenda
Workshop specifics – covered/not-covered
Overview of AWS RoboMaker
Workshop quick-start – helpful hints
Deployment demo
Let’s do this!

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Related breakouts
Thursday, November 29
Announcing AWS RoboMaker: A New Cloud Robotics Service
12:15p – 1:15p | Venetian – Titian 2205
Friday, November 30
Chalk Talk: Introduction to Simulation with AWS RoboMaker
10:45a – 11:30a | Mirage, Antigua B

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Robotic development is difficult and time-consuming
Hundreds of hours
spent building extensions
Many
prototyping iterations
Days spent setting
up and configuring
Months to build a realistic simulation
environment
Duplicated efforts integrating an
application management system

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AWS RoboMaker capabilities
Development
environment
SimulationCloud Extensions
for ROS
Fleet
management

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Developers
AWS Cloud
AWS RoboMaker
Cloud interaction
Physical interaction
Physical
robot
Virtual
robot
Cloud and physical interactions

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AWS RoboMaker
architecture
AWS Cloud
Robot
applications
Simulation
log files
Developers
Deploy
application
Robot
Rviz
Gazebo
Rqt

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AWS RoboMaker architecture recap
ROS/ROS2
BuildTool
CloudDevelopment
Environment
Debug
MLModelTraining
Iterative
Simulation
Regression
Testing
Registration
Deployment
Monitoring
Management
Development
environment
Simulation
Fleet
management
AmazonLex
AmazonPolly
AmazonRekognition
AmazonKinesisVideo
Streams
AmazonCloudWatch
Metrics
AmazonCloudWatch
Logs
Cloud Extensions
for ROS
MetricandLogging

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Development Environment
sim_ws
robot_ws
Develop Build Bundle Simulate
ROS AWS
extensions
S3 bucket
Robot
application
Simulation
application

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Simulation
Job log files
S3 bucket
Rosbag 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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AWS Console and service tips
• Only use the Oregon region (us-west-2)
• Right-click to new open new tabs in your browser
• Clean up resources at the end
• Pro tips on navigating the AWS Management Console

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Working with colcon bundle and build
ROS Dependencies
rosdep – ROS packages
Operating system – ROS or other packages
Build
ROS and O/S dependencies installed on local O/S
rosdep / apt
Bundle
X86_64 or ARM(HF/64) distribution, followed by:
ROS and O/S dependencies installed in each application
Each new or cleaned bundle downloads everything required for O/S and ROS

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Operation of DogFinder application
(Virtual) TurtleBot3 Waffle Pi
Has camera and LiDAR sensing
Centered in room (hexagon)
Waits for command to start
Goal Seeking
Turns clockwise to the next wall/photo
Takes image and sends to Amazon Rekognition
If image is not a dog, progress to next wall
AWS Integration
ROS integrated Amazon Kinesis Video Streams of camera
ROS integrated CloudWatch Logs for information of progress
Amazon Rekognition (via boto3 python SDK) for object detection

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Nodes, topics, messages… oh my!
/dog_finder
Main control node
/turn
Node that executes turn,
at velocity, and stop at
desired heading
TurnCommand message:
float32: heading
float32: velocity
int8: direction
/turn_to_heading
topic to turn robot
/dog_finder publishes
/turn subscribes

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Dog Finder source code
This will be used later. Please download to your laptop now:
bit.ly/dog-finder-workshop

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22. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Gavin Adams
gavinaws@amazon.com
Andrew Lafranchise
lafranch@amazon.com

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