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hide: | ||
- toc | ||
--- | ||
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# Dataset overview | ||
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## `JKK_DATASET_01` | ||
This dataset consists of measurement log files (ROS 1 rosbag), pointcloud files and additional scripts to access and edit these. The data is provided for research and educational purposes. | ||
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[Details](jkk_dataset_01){ .md-button .md-button--primary } | ||
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![](https://raw.githubusercontent.com/szenergy/szenergy-public-resources/master/data/rosbag/img/leaf-2022-03-18-gyor.png){ width="600" } | ||
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![](https://raw.githubusercontent.com/szenergy/szenergy-public-resources/master/data/rosbag/img/leaf-2022-03-18-gyor.png) | ||
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## `JKK_DATASET_02` | ||
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This dataset consists of measurement log files (ROS 2 mcap) with additional scripts to access and edit these. The data is provided for research and educational purposes. | ||
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[Details](jkk_dataset_02){ .md-button .md-button--primary } | ||
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![](/img/jkk_dataset_02_2023_07_11-11_12.svg) | ||
![](/img/jkk_dataset_02_2023_07_11-11_12.svg){ width="600" } | ||
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## `JKK_DATASET_03` | ||
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This dataset contains the Human-like Behavior (HLB) usecase data, in mat format. | ||
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[Details](jkk_dataset_03){ .md-button .md-button--primary } | ||
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![](/img/ldm1.svg) | ||
![](/img/ldm1.svg){ width="600" } | ||
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The log data is in .mcap format, the standard logging format for ROS 2. | ||
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The log data is in .mcap format, the standard logging format for [`ROS 2`](https://docs.ros.org/). | ||
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## Python notebook | ||
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[Open MCAP in python notebook](https://github.com/jkk-research/jkk-research.github.io/blob/master/notebooks/mcap_basics.ipynb){ .md-button } | ||
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## Some images | ||
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![](/img/jkk_dataset_02_2023_07_11-11_12.svg) | ||
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![](/img/jkk_dataset_02_2023_07_11-14_02.svg) |
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# `ROS 1` real robot workshop | ||
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- A small overview of the `Bavarian-Hungarian Self-driving vehicles` workshop. | ||
- **Date**: 2023.11.03. | ||
- **Place**: Győr, Hungary. | ||
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## The `megoldas_zala23` ROS 1 package | ||
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🤖 In the following a very simple wall/gap following approach will be presented and described. The origin of he code is based on the work of Suresh Babu (University of Virginia, [license](https://github.com/linklab-uva/f1tenth_gtc_tutorial/blob/master/LICENSE)). Link to the original code: [github.com/linklab-uva/f1tenth_gtc_tutorial](https://github.com/linklab-uva/f1tenth_gtc_tutorial). | ||
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The name of the package is a comes from a hungarian expression (`megoldas`: solution / Lösung). | ||
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## The robot used in the competition | ||
Wheeltec / Roboworks Rosbot mini Ackermann robot | ||
![main](https://raw.githubusercontent.com/robotverseny/megoldas_zala23/main/etc/wheeltec_roboworks_ack01.png) | ||
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On-board computer | ||
- Nvidia Jetson Nano | ||
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Sensors | ||
- Orbbec Depth Camera | ||
- LSN10 LIDAR | ||
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## Video | ||
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<iframe width="560" height="315" src="https://www.youtube.com/embed/-PStmHQlJaU?si=eOFQazJ38qJyHe2u" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> | ||
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## Usage | ||
Prerequisites: | ||
- WiFi-enabled computer with Ubuntu 18.04 / 20.04 operating system and ROS Melodic / Noetic installation | ||
- Internet access (Ethernet cable or WiFi) | ||
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1. Turn on the robot platform. | ||
2. Use the computer to connect to the WiFi network created by the robot. The name of the WiFi network is unique for each robot platform, the `#` at the end of the SSID changes according to the number of the robot platform: | ||
``` | ||
SSID: WHEELTEC_CAR_5.5_# | ||
Password: dongguan | ||
``` | ||
3. Use SSH to connect to the on-board computer of the robot platform with the following terminal command: | ||
``` | ||
ssh [email protected] | ||
``` | ||
A password will be required, the default password is `dongguan` | ||
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### Internet access on the robot platform | ||
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Software packages can be downloaded to the on-board computer of the robot platform, which requires internet access. | ||
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- Ethernet: connect the Ethernet cable to the Ethernet port of the on-board computer of the robot platform. | ||
- WiFi: after issuing the `nmtui` terminal command, connect to the available WiFi network. | ||
``` | ||
nmtui | ||
``` | ||
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<img src="https://user-images.githubusercontent.com/11504709/160778891-0c06e338-405f-43c6-8aac-928af33c057e.png" width="50%" /> | ||
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### Install the `ROS 1` package | ||
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After installation, the functions of the robot platform can be accessed using ROS. The sample solution of the competition can also be deployed by ROS. | ||
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Create a workspace and install the sample solution on the robot: | ||
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``` bash | ||
mkdir -p ~/workshop_ws/src | ||
``` | ||
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``` bash | ||
cd ~/workshop_ws/ | ||
``` | ||
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``` bash | ||
catkin init | ||
``` | ||
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``` bash | ||
cd ~/workshop_ws/src/ | ||
``` | ||
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``` bash | ||
git clone https://github.com/robotverseny/megoldas_zala23 | ||
``` | ||
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``` bash | ||
cd ~/workshop_ws/ | ||
``` | ||
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``` bash | ||
catkin build megoldas_zala23 | ||
``` | ||
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``` bash | ||
echo "source /home/wheeltec/workshop_ws/devel/setup.bash" >> ~/.bashrc | ||
``` | ||
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``` bash | ||
source ~/.bashrc | ||
``` | ||
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Install `screen` | ||
``` bash | ||
sudo apt install mc screen | ||
``` | ||
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Install jks visualization rviz plugin: depending on ROS 1 version (**melodic** / **noetic**): | ||
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``` bash | ||
sudo apt install ros-melodic-jsk-rviz-plugins | ||
``` | ||
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``` bash | ||
sudo apt install ros-noetic-jsk-rviz-plugins | ||
``` | ||
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## Usage | ||
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### Start solution using screen (recommended) | ||
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The script `verseny_start.sh` sets the required environmental variables, starts the ROS nodes and finally after *2 minutes* **stops** everything. Have a look at the code: [verseny_start.sh](https://raw.githubusercontent.com/robotverseny/megoldas_zala23/main/etc/verseny_start.sh) | ||
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``` | ||
rosrun megoldas_zala23 verseny_start.sh | ||
``` | ||
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The `verseny_start.sh` shell script usually launches several virtual terminals, such as: `roscore`, `turn_on_wheeltec_robot`, `lsn10_lidar`, `megoldas1.launch`. All components of the solution can be stopped with the following command: | ||
``` | ||
rosrun megoldas_zala23 stop_all.sh | ||
``` | ||
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Further commands: | ||
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- list screen: `screen -ls` | ||
- restore screen: `screen -r roscore` / `screen -r turn_on_wheeltec_robot` / `screen -r megoldas1` | ||
- detach: `Ctrl-a` + `Ctrl-d` | ||
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## ROS connection | ||
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The ROS topics advertised by the robot platform are also available on the computer connected to the platform, with the appropriate setting of the `ROS_MASTER_URI` variable: | ||
``` r | ||
export ROS_MASTER_URI=http://192.168.0.100:11311 | ||
``` | ||
After the appropriate setting of the variable, the topics can be listed and visualized using Rviz: | ||
``` | ||
rostopic list | ||
``` | ||
``` | ||
rosrun rviz rviz | ||
``` | ||
## Some explanatory animations | ||
``` | ||
roslaunch megoldas_zala23 rviz1.launch | ||
``` | ||
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![](https://raw.githubusercontent.com/robotverseny/megoldas_zala23/main/etc/left_right01.gif) | ||
![](https://raw.githubusercontent.com/robotverseny/megoldas_zala23/main//etc/trajectory01.gif) | ||
![](https://raw.githubusercontent.com/robotverseny/megoldas_zala23/main//etc/angles01.svg) | ||
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### Start solution per component | ||
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The solution can also be started per component, not just as a single shell script. This requires four terminal windows on the on-board computer of the robot platform and issuing the following commands per terminal: | ||
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``` bash | ||
roscore | ||
``` | ||
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``` bash | ||
roslaunch turn_on_wheeltec_robot turn_on_wheeltec_robot.launch | ||
``` | ||
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``` bash | ||
roslaunch lsn10 lsn10.launch | ||
``` | ||
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``` bash | ||
roslaunch megoldas_zala23 megoldas1.launch | ||
``` | ||
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## Additional information | ||
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### Workspaces | ||
``` | ||
~/wheeltec_robot/src | ||
~/catkin_workspace/src | ||
~/workshop_ws/src/ | ||
``` | ||
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## Topic management | ||
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``` | ||
rostopic hz /scan | ||
rostopic echo /scan -n1 | ||
rostopic type /scan | ||
``` | ||
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``` | ||
sensor_msgs/LaserScan | ||
``` | ||
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## Robot platform language settings | ||
``` | ||
sudo dpkg-reconfigure locales | ||
``` | ||
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![](https://raw.githubusercontent.com/robotverseny/megoldas_zala23/main//etc/locales.png) | ||
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**reboot** | ||
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## Rosbag management | ||
``` | ||
cd ~/rosbags | ||
rosbag record -a -o test1 | ||
``` | ||
``` | ||
rsync -avzh --progress [email protected]:/home/wheeltec/rosbags/ /mnt/c/bag/wheeltec/ | ||
rosbag info test1_2023-03-30-12-37-22.bag | ||
rosbag play test1_2023-03-30-12-37-22.bag | ||
``` | ||
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You can even visualize rosbags in [Foxglove studio](https://foxglove.dev/): | ||
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![Alt text](https://raw.githubusercontent.com/robotverseny/megoldas_zala23/main//etc/rosbag_foxglove01.gif) | ||
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[Download rosbags](https://drive.google.com/drive/folders/1CAh-EIHjlvURHi62bxNnC9pIxUP5A00K?usp=drive_link) | ||
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- [Further explanation ipynotebook](https://github.com/robotverseny/megoldas_zala23/blob/main/etc/explain.ipynb) | ||
- [Competition homepage](https://robotverseny.github.io/) | ||
- [Foxglove studio](https://foxglove.dev/) |
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# `ROS 2` F1/10 simulation workshop | ||
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- A small overview of the `Bavarian-Hungarian Self-driving vehicles` workshop. | ||
- **Date**: 2024.04.18. | ||
- **Place**: Kempten, Germany. | ||
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## A `ROS 2` package | ||
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[![Static Badge](https://img.shields.io/badge/ROS_2-Humble-34aec5)](https://docs.ros.org/en/humble/) | ||
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## Simulation | ||
`ROS 2` humble |
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--- | ||
hide: | ||
- toc | ||
--- | ||
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# Workshops overview | ||
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## `2023.11.03` Győr `ROS 1` | ||
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During the workshop a very simple wall following approach was presented with hands-on experinece on a real robot. | ||
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![](/img/workshop1_a.jpg){ width="300" } | ||
![](/img/workshop1_b.jpg){ width="300" } | ||
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[Go to details](2023_11/){ .md-button } | ||
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## `2024.04.18` Kempten `ROS 2` | ||
During the workshop F1/10 based simulation was presented based on `ROS 2` Humble. | ||
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![](/img/workshop2_a.jpg){ width="300" } | ||
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[Go to details](2024_04/){ .md-button } |
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