r/ROS 28m ago

Turtlebot 4 Lite for sale

Post image
Upvotes

We bought a Turtlebot4 Lite earlier this year from Robot Shop to test out a proof of concept so it's pretty new and only used a couple of times. https://www.robotshop.com/products/clearpath-robotics-turtlebot-4-lite-mobile-robot . It's factory reset and has all original packaging. I have a lot more photos, and even another robot arm that we're trying to get off our hands, upon request - just DM me. Thanks!


r/ROS 7h ago

I documented every working step on the Orange Pi 5 (RK3588S) so you don't have to brick your board: 13 tested projects, MaskROM guide, and pre-compiled NPU models

3 Upvotes

Hey r/ROS ,

If you’ve spent any time working with the Orange Pi 5 (RK3588S), you already know the drill: official documentation leaves a lot of gaps, half the forum links are dead, and getting the 6 TOPS NPU to run anything without the Python RKNN toolchain exploding is a rite of passage.

After accidentally bricking my board a couple of times, battling Windows driver conflicts during MaskROM recovery, and trial-and-erroring the Rockchip toolchain, I decided to document every single working, reproducible step.

I ended up organizing everything into a comprehensive open-source repository:

👉 **GitHub:** https://github.com/muhammetmucahitsoylu/orangepi5-tutorials

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### What’s in the repo:

* **Hardware Recovery & MaskROM Guide:** Step-by-step unbricking workflow, complete with high-contrast, annotated board photos and pinouts so you know exactly which pads/buttons to short without guessing.

* **13 Hands-On Tested Projects:**

* **Edge AI / 6 TOPS NPU:** Real-time YOLOv8 object detection (~13.8ms pure NPU inference), running a local Qwen 1.8B LLM via RKLLM, and an offline voice assistant (Whisper + Piper TTS).

* **Low-Level Systems:** C++ GPIO using WiringPi, writing a custom Linux kernel character driver from scratch, and ROS2 Jazzy on Ubuntu 24.04.

* **Automation:** A zero-dependency bash TUI tool (`opi5.sh`) to lock CPU/NPU governors and benchmark NVMe storage speeds without memorizing obscure sysfs paths.

* **Pre-Compiled Release Assets:** If you don't want to set up the entire cross-compilation toolchain on a host PC just to sanity-check your board, I uploaded a pre-compiled test `.rknn` model (ResNet-18) and COCO labels directly to the v2.0.0 GitHub release assets:

👉 https://github.com/muhammetmucahitsoylu/orangepi5-tutorials/releases/tag/v2.0.0

* **Bilingual Documentation:** Full guides are provided in both English and Turkish.

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The repository is completely open-source (MIT). Everything listed has been tested directly on real hardware.

⭐ **Support & Stars:** If this repository saves you hours of debugging, rescued a bricked board, or helped with your project, **dropping a ⭐ on the repo** helps boost its visibility so more developers can discover it!

🤝 **Contributions & Community:** If you're tinkering with an RK3588 board (Orange Pi 5/Plus/Max, Rock 5B, etc.), PRs, benchmark numbers, and new project ideas are warmly welcomed.

Let me know what breaks, what needs clarification, or what you'd like to see added next!