102 réponses à ce sujet

[richard_muhi]

[richard_muhi]

[richard_muhi]

[vishal095015]

https://youtu.be/Giq...e7V24CZqkYK_0gW

[electroniclinic]

Hi everyone!

My latest project is finally live! In this video, I show how to combine the RD-03D mmWave Radar, an ESP32-C3, and the D-Robotics RDK X5 to build several practical and interactive applications.

In this video, I demonstrate:
Real-time radar tracking
Secure-zone intrusion detection
Radar-triggered USB camera
Python applications running on the RDK X5
Android radar app
A Snake game controlled entirely by body movement
Android version of the radar-controlled Snake game

This project shows how easy it is to use an ESP32-C3 to handle the radar communication, allowing the RDK X5 to focus on running higher-level applications.

If you're interested in RDK X5, Edge AI, Python, computer vision, or mmWave radar, I'd love to hear your thoughts and feedback.

Thank you to the D-Robotics team and this community for building such a great platform for developers. I hope you enjoy the project!

[electroniclinic]

[electroniclinic]

New RDK X5 project: an AI assistant that wakes up on its own

Just finished a build that pairs mmWave radar with ChatGPT (GPT-4o), running entirely on the RDK X5. No wake word, no button - the moment the radar detects someone in the room, the RDK X5 triggers the assistant and it starts talking.

Once active, it uses the RDK X5's USB camera input to capture and send frames to GPT-4o for real scene understanding - not limited to a fixed object list like COCO. It correctly picked up on someone hiding behind a cupboard just out of direct view, which honestly surprised me too.

The RDK X5 is also handling GPIO output in this build - voice commands control an LED directly through the board, so it's not just a chatbot, it's actually driving hardware in real time.

Stack:
RDK X5 - core processing, camera input, GPIO control
RD-03D mmWave radar + Xiao ESP32-C3 - presence trigger
GPT-4o - conversation + vision
ElevenLabs - voice output

[electroniclinic]

[electroniclinic]

What if an $80 LiDAR could see things you can't?

In my latest project, I'm using the LD19 LiDAR and RDK X5 to build a real-time sensing system that can see in complete darkness, track moving people and objects, calculate speed, predict movement, detect potential collisions, find safe paths, and even generate steering commands for future autonomous systems.

I also built an interactive 3D visualization to see everything happening in real time.

But getting it all working wasn't exactly straightforward.

The LD19 would start spinning normally, run for about two seconds... and then suddenly stop when connected to the RDK X5.

After some troubleshooting, I found the actual problem and figured out a simple solution.

And by the end of the project, the entire system was running directly on the RDK X5 - no laptop required.

This project was a great example of how much you can do with an affordable LiDAR when you combine raw sensor data with the right software.

[electroniclinic]

[bellaatdg]

Powered by the D-Robotics RDK dev kit, builders at Hack The North
created projects in just 36 hours!
Meet Goostriever, a voice-controlled retrieval robot built by @zrax1n
team.

"Bring me my bottle."
:robot:So they built a robot that can actually do it.
Give it a command. It identifies the right object, plans a route around the room, drives over, picks it up, and brings it back.

Under the hood: vision, navigation, an LLM planner, and an RDK S100 running ACT inference locally for the grasping action.

Check the project:https://devpost.com/software/robot-pickup-helper?_gl=1*2fj07n*_gcl_au*MTk3ODQwMjE1LjE3ODk5NTQ4NzY.*_ga*MjA0MTg0Mzc1NS4xNzg5OTU0ODc5*_ga_0YHJK3Y10M*czE3ODk5Njk2MjckbzIkZzEkdDE3ODk5NzE0NjQkajI1JGwwJGgw

For more details: https://github.com/d...-the-north-2026
Built by YoshiBoiy's team Hack The North, Lloyd brings AI into the world of insurance, tackling a very different kind of real-world challenge.

The project combines AI-assisted underwriting, risk analysis, evidence, investigation, and privacy-aware document processing into one workflow. The RDK X5 performs local OCR, sensitive-field detection, redaction, and tokenization.

Check the project: https://devpost.com/...jkkajYwJGwwJGgw

GitHub: https://github.com/YoshiBoiy/lloyd
Built by YoshiBoiy's team Hack The North, Lloyd brings AI into the world of insurance, tackling a very different kind of real-world challenge.

The project combines AI-assisted underwriting, risk analysis, evidence, investigation, and privacy-aware document processing into one workflow. The RDK X5 performs local OCR, sensitive-field detection, redaction, and tokenization.

Check the project: https://devpost.com/...jkkajYwJGwwJGgw

GitHub: https://github.com/YoshiBoiy/lloyd  11oyd_.png   113,38 Ko   0 téléchargement(s)

goosetriever-.mp4   2,53 Mo

[vishal095015]

[richard_muhi]

I watched the video, and the project is really awesome.

[robomoticai]

I am very eager to test our privacy module on the RDK board, this is our benchmarks
https://robomotic.com/

[shockley6668]

Hey everyone! I got Muse running on my RDK X5 with a little 480×320 touchscreen :alien_monster:
I brought over the ESP32 pixel avatar UI and added chat captions, hold-to-talk input and TTS for replies. It uses LVGL/SDL and a Python backend connected to the Muse Linux SDK. Muse runs in the cloud; the X5 handles the screen, audio and device commands.
Text chat, touch controls, reconnection and boot startup are working on the board. The code and installation instructions are on GitHub:
https://github.com/s...-x5-muse-gadget
 Image_Oct_12_2026_03_29_13_AM.jpg   645,95 Ko   0 téléchargement(s)

[vishal095015]

[tejazmali]

any one using rdk with powerbank or any portable power sorce please suggest me

[shebinjosejacob]

Hey everyone

Sharing something we've been building on the RDK X5, our first time working with the board, so it's been a fun one to explore.

It's an AI food scanner that recognizes what's on your plate and turns it into nutrition info. A food segmentation model picks out each item separately, and a web dashboard on a 4-inch display tracks calories through the day, with all inference running on-device on the X5's BPU.

This is v1. The SC132GS stereo camera is on board, but we've barely scratched the surface of what it can do. Things like portion volume from depth are next on the list.

Would love your thoughts and feedback

[robomoticai]

Hey everyone,

For the past six months, our team of robotics engineers and game devs has been building a game that brings real-world robotics and true-to-life physics into a playable experience. We built it using Unity + MuJoCo, striving to strike the perfect balance between an authentic, useful simulator and a genuinely fun game.

On the technical side, we are actually using the RDK X5 to simulate the physical robot in the cloud via hardware-in-the-loop (HIL), giving you real hardware execution backing the physics!

Today, it is finally out, and we want to build this alongside the community. We are looking for feedback-and we're also taking requests:

Want to see your own robot in the sim? Let us know what models/hardware you want us to add!

What specific tasks, puzzles, or challenges do you want to play?

How deep do you want the physics and simulation fidelity to go?

Check it out and test it here:

Itch.io: https://spinworks.itch.io/robosim

Official Website: https://robosim.spinworks.tech/

Let us know your thoughts (and your robot requests) in this thread :spool_of_thread:

[drobo_community]

Would you like to be a guest speaker in our community webinar? If you are interested in it, please tell @Bella .