The preliminary activities in preparation of EU@HomeEdu 2019 are provided in form of Assignments. Each assignment contains a specific task to be carried out to make your team ready for the workshop and competition. Assignments will be periodically assigned and teams will be informed by e-mail about new assignments published here. Challenge organizers will be available to support teams encountering problems in performing the assignments.
Technical questions may be sent to:
iocchi@diag.uniroma1.it
i@jeffreytan.org
roboticsarena@mathworks.com (MATLAB)
Goal: Having a first easy-to-install and ready-to-use installation of the software needed for the Challenge.
Requirements: a laptop or desktop computer with enough computational power, memory and disk space and already installed OS.
Linux OS preferred, but Microsoft Windows OS is also acceptable.
Tasks:
Note: MATLAB can be installed on the same host machine running the Virtual Machine or on a different one. MATLAB can also be installed within the virtual machine, but you will need to create a new virtual disk (suggested size 32 GB), to connect and mount it in the VM file system, and to install MATLAB on it.
Note: For network connection between the Virtual Machine and the Host machine (running a browser or MATLAB) use Bridged or Host-only adapter in the settings of the VirtualBox Virtual Machine.
Exercise 1. Run the virtual machine, run firefox in the virtual machine. Access the Bringup web page, connect to localhost, and start the simulated robot (Simrobot start button). Open a new firefox tab on the Programming web page and choose Commands, Blockly or Python. Connect to localhost, write your simple program (e.g., move the robot in a square) and see the robot moving in the simulator.
Exercise 2. Repeat exercise 1 using MATLAB interface instead of the web programming interface.
Download MATLAB scripts from https://github.com/robocupathomeedu/rc-home-edu-learn-matlab
and follow instructions for the scripts in IntroROS section
Goal: Having a more efficient software installation for the Challenge
Requirements: a laptop with enough computational power, memory and disk space and a free partition to install Linux.
Tasks:
Exercise 1. Run stage simulator (follow instructions in http://wiki.ros.org/stage_ros).
Type a shell command to move the robot
rostopic pub /cmd_vel geometry_msgs/Twist -r 3 -- '[0.5,0.0,0.0]' '[0.0, 0.0, 0.0]'Exercise 2. Run stage simulator and move the robot using MATLAB interface
[velPub,velMsg] = rospublisher('/cmd_vel');
velMsg.Linear.X = 0.5;
send(velPub,velMsg);
Goal: testing mapping and navigation functionalities using Stage simulator.
Requirements: Software installed as in Assignments 1 or 2 above, including marrtino_apps, MATLAB and rc-home-edu-learn-matlab.
You need to update the software installed. The following commands are customized for MARRtino VM
cd ~/Downloads
wget -N http://www.diag.uniroma1.it/iocchi/marrtino/update_rchomeedu_1.bash
source update_rchomeedu_1.bash
cd ~/src/marrtino_apps
git pull
If you have your own different installation, please adapt these commands to your settings.
References:
RoboCup@Home Education MARRtino Guide
Tasks:
Exercise 1. Create the map of Montreal 2018 @Home arena (or any other environment you want to try) that appears when you start the simulator on the virtual machine, start the navigation mode with the new map, and write a program for the robot to visit all the rooms in the apartment and then exit the door in the bottom-right side.
Version 1A. Use Python
Version 1B. Use MATLAB
Note: all the tasks and exercises can be performed on real robots as well. If using MARRtino robot, you should just need to run the robot node instead of the simulator node. For mapping and navigation, you should have a laser range finder mounted on the robot and run the corresponding node.
Goal: testing speech functionalities integrated with navigation using Stage simulator and LU4R Android app.
Requirements: Software installed as in Assignments 1 or 2 above, including marrtino_apps, MATLAB and rc-home-edu-learn-matlab, rc-home-edu-learn-ros,LU4R Android app for Speech Recognition
Update the software installed on MARRtino VM
cd ~/src/marrtino_apps
git pull
cd ~/src/rc-home-edu-learn-matlab
git pull
cd ~/src/rc-home-edu-learn-ros
git pull
References:
RoboCup@Home Education MARRtino Guide
Tasks:
1. Voice-command control. Run MARRtino simulator and audio server (follow instructions in Part 2 of
RoboCup@Home Education MARRtino Guide). Install, run and configure LU4R Android app for speech recognition. Run the program listed as Example 1 speech control in Part 3 of RoboCup@Home Education MARRtino Guide.
2. Test speech functionalities described in the last part of RoboCup@Home Education MARRtino Guide
Exercise 1. Define a set of locations in the simulated environment as pairs (location name, global map coordinates). For example: ('kitchen', 6, -5, -90), ('living room', 9, -4, -90), and so on. Use global map coordinates as described in Assignment 3. Run a simulated robot with navigation capabilities on a map (as described in Assignment 3).
Write a program for voice control of robot locations, where the user can say to the robot to go to a location (e.g., "go to the kitchen") and the robot will move there using the mapping between location names and map coordinates specified above.
Version 1A. Use Python
Version 1B. Use MATLAB
Goal: testing object recognition functionalities using MARRtino VM.
Requirements: MARRtino VM (Software installed as in Assignments 1 above).
Update the software installed on MARRtino VM up to version 2.6.1.
cd ~/install
python marrtino_update.py
Run python marrtino_update.py until you reach version 2.6.1
References:
RoboCup@Home Education MARRtino Guide
Tasks:
1. Read Part 4, Section Vision functionalities in RoboCup@Home Education MARRtino Guide and test how to download images from web and display them in the VM.
2. Test object recognition functionalities on web images
Exercise 1. Define a set of locations in the simulated environment and run a simulated robot with navigation capabilities on a map (as described in Assignment 4).
Write a program to bring objects in the proper location, by implementing the following behavior: 1) get a web image (it will be a random object), 2) use object recognition to classify the object, 3) declare the object recognized with speech, 4) bring the object in the proper location (i.e., move to that location) according to the table below.
fruit (banana, orange, pineapple) -> kitchen
cup, water_bottle, plastic_bag -> living_room
volleyball, teddy -> bedroom
Version 1A. Use Python
Version 1B. Use MATLAB