embedded_system

Can't Join? t.me/embedded_system

subscribers number

13 409

subscribers

Embedded Systems

Updated: Dec 18, 2024


News, articles, guides, analytics, projects and startups from the embedded industry.

Topics of the channel:
◽️ machine learning
◽️ internet of things
◽️ embedded software
◽️ advanced electronics
◽️ new engineering ideas

⤵️ Share and subscribe!

Country Rank 874 ↓31
Country United States
Language English

Latest Posts

embedded_system

November 1, 2024, 6:36

🤖 Q8bot – Tiny Open-Source Robot with Big Potential

The Q8bot is a compact quadruped robot designed to minimize wiring complexity by integrating all components directly onto a custom PCB. The robot uses eight Dynamixel motors and a Seeed Studio XIAO ESP32C3 microcontroller to achieve agile, wire-free movement.

Features of the robot:
➡️The robot's core structure integrates motor connections and power components directly onto a central PCB.
➡️Powered by eight powerful XL330-M077-T servos.
➡️The 3D-printed frames house 14500 batteries directly, providing a clean, compact design.
➡️Controlled remotely via an onboard ESP32 controller using the ESP-Now protocol.

The robot's open-source design and relatively low bill of materials (around $300) make it accessible for hobbyists looking to experiment with quadruped robot movement and control.

More information:
☠️ The Hackaday article
😹 The GitHub page

#projects #robots #esp32

embedded_system

October 14, 2024, 6:37

🍓 Use an External GPU on Raspberry Pi 5 for 4K Gaming

The author of this project explores the integration of an external GPU with a Raspberry Pi 5, enabling 4K gaming and GPU-accelerated tasks on this compact ARM-based platform.

Features of the project:
➡️Utilizes various adapters and PCIe risers to connect an AMD RX 460 graphics card to the Raspberry Pi 5.
➡️Implements the amdgpu Linux kernel patch to enable compatibility with Polaris generation AMD graphics cards.
➡️Achieves smooth 60 Hz output at 4K resolution for games like Doom 3 and SuperTuxKart, surpassing the internal VideoCore GPU's capabilities.
➡️Supports GPU-accelerated video encode/decode via VA-API, enhancing multimedia capabilities.

By integrating an external GPU, users can achieve significant performance gains for gaming and multimedia applications, albeit with some current limitations and ongoing development needs. It serves as a hands-on exploration of GPU integration, Linux kernel customization, and the potential for open-source hardware acceleration on ARM platforms.

⛓ More information...

#projects #raspberry