5 réponses à ce sujet

[russosk1]

Hi everyone! I'm Alex, host of Inventors Den Channel on Youtube, so happy to be here!
My technical background: I am a hobby developer. I really enjoy inovations and hardware developments and specially nowadays with all the AI the development becomes much faster and easier. I never had any education in the field, but I sit in my workshop with Arduinos, ESP32, Raspberry Pis, etc. since I was 6 yo!
My robot/AI dream: The actual robot I will try to develop during this challenge is a full self sufficient and self aware robot. In Fact the awareness already works and it was pretty easy set up, however I will reconfigure it with RDK Studio since I saw the potential with this today.
I am so excited to be here and see to where will I arrive with the robot development! Can't wait to see other projects too! #RoboticsDreamKeeper #RDKX5
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[evelyn041059]

[evelyn041059]

Hi Alex, great to have you here! Excited to see you continue exploring the RDK X5. Looking forward to your deliverables across all stages of the Challenge

[russosk1]

Hi everyone! I am finally sharing what is achieved so far!

The robot is built around **two computers**, each handling the tasks they are best suited for:

**Raspberry Pi 5**

* Human detection and recognition.
* Controls the motors and overall robot movement.
* Acts as the main controller for navigation.

**RDK X5**

* Computer vision processing.
* Depth perception using a stereo camera.
* Object detection and environmental scanning.

I decided to split the workload this way because it keeps each board focused on what it does best. The Raspberry Pi handles the robot's movement and interaction, while the RDK X5 performs the more demanding vision tasks and sends the results back to the Raspberry Pi. The RDK X5 runs ROS 2 for the vision pipeline, handling stereo depth estimation and object detection. The processed results are transmitted over Ethernet to the Raspberry Pi, which listens for these updates and translates them into motor commands and navigation decisions. This separation allows the RDK X5 to focus entirely on AI inference while the Raspberry Pi remains dedicated to real-time robot control.

At this point, the communication between both boards is working, human recognition is working, motor control is working, and the RDK X5 is successfully processing stereo vision and object detection. It's really satisfying to see everything finally working together!

Right now I'm working on making the robot completely autonomous by adding a battery pack and an onboard charging system, so it no longer needs to stay connected to the wall.

The next big milestone is autonomous charging. The plan is for the RDK X5 to detect the charging station with a QR, use its depth perception to estimate the station's position in 3D space, and guide the Raspberry Pi so the robot can drive itself to the charger and dock automatically when the battery is low.

I'm looking forward to sharing more progress soon, and I'd love to hear any suggestions or ideas from the community!

[russosk1]

Looks pretty similar to other builds I saw)
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[evelyn041059]

Cool, you can follow the instruction here to share your progress: https://github.com/D...ge/tree/develop