Robot 3d SLAM
How-to: Sensor mit Arduino (VL53L7CX + Pico via Arduino IDE)
-
VL53L7CX mit dem Raspberry Pi Pico über die Arduino IDE vorbereiten
- Installiere die Arduino-Pico Core über den Boardverwalter.
- Wähle im Menü:
Werkzeuge → Board → Raspberry Pi RP2040 Boards → Raspberry Pi Pico
- Schließe den VL53L7CX korrekt per I2C an den Pico an:
- SDA → GPIO 4
- SCL → GPIO 5
- Stromversorgung: 3.3 V
- Lade das Skript
VL53L7CX_HelloWorld_I2C_pico.ino
auf den Pico. - Öffne den Seriellen Monitor (115200 Baud) und überprüfe, ob Messwerte ausgegeben werden.
- Stelle sicher, dass der Sensor erkannt wird und mit
Start ranging...
antwortet.
-
Micro-ROS Node starten
ros2 run my_robot_package tof_pico_node
-
RViz2 starten und PointCloud anzeigen
- Starte RViz2:
rviz2
- Setze unter Global Options > Fixed Frame den Wert auf
map
odervl53_frame
(je nachdem, welchen Transform du verwendest). - Füge ein neues Display hinzu:
- Typ:
PointCloud2
- Topic:
/vl53_pointcloud
- Typ:
- Stelle sicher, dass
Decay Time
z. B. auf0.1
Sekunden gesetzt ist, damit immer nur die aktuelle Messung sichtbar bleibt.
- Starte RViz2:
-
Optional: Statischen Transform zwischen map und Sensorrahmen setzen Falls du
vl53_frame
als Sensorframe benutzt, kannst du einen statischen Transform vommap
-Frame aus definieren:ros2 run tf2_ros static_transform_publisher 0 0 0 0 1.5708 -1.5708 map vl53_frame
Das transformiert den Frame so, dass er in eine horizontale Richtung zeigt im Verhältnis zum Grid.
How-to UR
-
UR-Simulation starten
- Die UR Offline-Simulation (Virtual Machine 1) starten
- Ein Programm mit Loop auf dem Roboter ausführen, z.B.:
Loop Wait: 0.1 sec End Loop
- Das Programm abspielen (Play-Button drücken)
-
In der 2. VM (ROS 2) den Workspace vorbereiten
- Terminal öffnen
- In den Workspace navigieren:
cd ~/ros2_ws
- Workspace sourcen:
source install/setup.sh
-
Joint-State Publisher starten
- Joint-Winkel über RTDE aus der UR-Simulation abfragen:
ros2 run my_robot_package joint_reader
- Joint-Winkel über RTDE aus der UR-Simulation abfragen:
-
(Optional) Joint-States überprüfen
- Im zweiten Terminal:
ros2 topic echo /joint_states
- Im zweiten Terminal:
-
Roboter in RViz visualisieren
- Starte die Roboter-Visualisierung in RViz mit URDF-Modell:
ros2 launch my_robot_package view_ur.launch.py ur_type:=ur5
- Starte die Roboter-Visualisierung in RViz mit URDF-Modell:
Vorinstallation
Bevor du das Setup verwendest, stelle sicher, dass folgende Pakete und Abhängigkeiten installiert sind:
1. ROS 2 Humble installieren
Folge der offiziellen Anleitung:
https://docs.ros.org/en/humble/Installation.html
2. Abhängigkeiten für das Universal Robots Setup
a) UR-Description Package (für das URDF Modell)
Clone das UR ROS2 Description Package in dein Workspace:
cd ~/ros2_ws/src
git clone -b humble https://github.com/UniversalRobots/Universal_Robots_ROS2_Description.git ur_description
## Add your files
- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files
- [ ] [Add files using the command line](https://docs.gitlab.com/topics/git/add_files/#add-files-to-a-git-repository) or push an existing Git repository with the following command:
cd existing_repo git remote add origin https://git-ce.rwth-aachen.de/oliverkania/robot-3d-slam.git git branch -M main git push -uf origin main
## Integrate with your tools
- [ ] [Set up project integrations](https://git-ce.rwth-aachen.de/oliverkania/robot-3d-slam/-/settings/integrations)
## Collaborate with your team
- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)
- [ ] [Set auto-merge](https://docs.gitlab.com/user/project/merge_requests/auto_merge/)
## Test and Deploy
Use the built-in continuous integration in GitLab.
- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/)
- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing (SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
***
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