Rockchip
What changed, and what is the evidence.
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🗞️ Pulse first · 3 news posts
Coverage
- 🗓️ 2026-10-22 · ✍️ RoboterminalEka's Robot Picks 1,500 Things an Hour. Its Gripper Is Rated for About 139 Days of That.
- 🗓️ 2026-10-21 · ✍️ RoboterminalSchaeffler Will Buy Thousands of Humanoids From Its Actuator Customers. Its €400 Million Order Book Doesn't Count Those Deals.
- 🗓️ 2026-10-19 · ✍️ RoboterminalFifteen Humanoids Are Loading Car Parts at 98%. The Number That Decides Their Future Is 15 Seconds.
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Timeline
What changed, and what is the evidence.
Oct 22, 2026 · Post · posted
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I think people are completely missing the point behind MicroDuck. https://t.co/M4oeTz44bv https://t.co/twQ56cqZBj |
MicroDuck looks like a cute desk toy. The hardware tells a different story. At just 25 cm tall and around 780 g, this small robotic duck packs a surprising amount of engineering into its body. Here’s what’s inside: • 15 motors controlling… |
🚀 #ProjectSpotlight Using #OpenAI #Codex + #reComputer #RK3576 to build and deploy a #YOLOv8 video detection WebUI, working directly with the board over SSH. What if you could go from an idea to a working Edge AI application with just a… |
🛠️ reComputer Industrial RK3576: Compact footprint. Industrial-ready performance The reComputer Industrial #RK3576 packs powerful edge computing into a compact, fanless design measuring just 135 × 92 × 56 mm. With DIN-rail mounting and a… |
🚀🔥reComputer #RK3588 Module is Coming Soon!!! ⚡ Octa-core CPU: 4× Cortex-A76 + 4× Cortex-A55 🧠 6 TOPS NPU for on-device AI acceleration 💾 Up to 32GB RAM & 128GB eMMC 🔌 Rich I/O with a 260-pin SO-DIMM interface 🖥️ 8K video decoding at… |
🚀 #Rockchip RK3576 + #RaspberryPi PoE+ HAT: Power Over Ethernet Meets Edge AI! We adapted the #reComputer #RK3576 Module to the Raspberry Pi #PoE+ HAT, enabling PoE-powered operation through Ethernet while running #YOLO11 from Seeed… |
🚀 Deploy YOLO11 on RK3576 Module + Raspberry Pi CM4 IO Board!! We tested the #reComputer #Rockchip #RK3576 Module on a #RaspberryPi #CM4 IO Board and successfully deployed #YOLO11 from #reComputerAILab for real-time object detection! ✅… |
Expert Takeaways: Unitree Humanoids > Robot chips split into low-compute parts (e.g., Rockchip RK3588, 6 TOPS) for low latency/fast communication and high-compute parts for high-bandwidth throughput. > Rockchip controls ~95% of the… |
Look at the camera. It wakes up. Speak. It understands. 👀🎙️ Meet Visual Wake + Offline Speech Recognition on reCamera Pro — powered by on-device AI, with no cloud needed for core inference. Demo & guide: https://t.co/6gdnnM7s5u Product:… |
🔥🔥Multimodal Retail AI Center, running locally on the reComputer RK3588. 👁️ Smart Shelf Vision Monitor product states and restocking events with RKNN object detection. 🎙️ Voice Inventory Assistant Ask questions like “How many bottles… |
🚀 Do you know reComputer RK3576 Module can work with Raspberry Pi CM4 IO Board We're testing compatibility between the #Rockchip #RK3576 Module and the #RaspberryPi CM4 IO Board, with several interfaces already up and running: ✅ HDMI… |
Every robot starts on a board you bought. The good ones end up on a board you built. https://t.co/uuF38bllUW |
🔥🔥NEW Launch: reComputer Industrial RK3576 is Officially HERE!!!! Powered by Rockchip #RK3576 octa‑core CPU + 6 TOPS NPU, this compact #fanless industrial edge AI box delivers reliable, low‑latency on‑device AI inference without cloud… |
🔥🔥#RK1828 vs. #RK1820: 32K context. Fully local. We pushed long-context AI inference further on the #reComputer RK3576 Dev Kit with #Qwen3 running locally: ⚡ RK1828 + Qwen3-4B → 32K NIAH: 12/12 PASS → 74.75 tok/s generation → ~300 ms… |
🔥🔥RUN #7B #VLM on reComputer #RK3576 Dev Kit + #RK1828 We tested #Qwen 2.5-VL-7B_prune on the reComputer RK3576 Dev Kit + RK1828 AI Accelerator: ⚡ TTFT: 418.93 ms 🚀 Streaming Output: 330.68 chars/s ⏱️ End-to-End: 2.84 s From image… |
🔥🔥Testing 7B #LLM on #RK3576+#RK1828 We put Qwen2.5-7B (W4A16) to the test on the reComputer RK3576 Dev Kit with RK1828 AI Accelerator: ⚡ Prefill: 121.12 tok/s 🚀 Generation: 60.42 tok/s ⏱️ TTFT: 309.64 ms But this isn’t just another… |
🚀🚀 reComputer AI Lab Just Got a Major Upgrade! With 90+ AI models, 100+ tutorials, and an ever-growing collection of projects, we’ve redesigned #reComputerAILab to make finding and deploying AI models easier than ever. 🔍 More ways to… |
👁️ Testing Qwen2.5-VL-3B on the reComputer RK3576 Dev Kit with RK1820 AI Accelerator ⚡ 361.98 ms Time to First Token 🚀 227.56 chars/s Streaming Output 🧠 Local Vision-Language Model 🔍 Image Understanding · Visual Q&A 🔒 Fully Local… |
🔥🔥RK3576+RK1820: 178.86 tokens/s. Local LLM, Running Fast. We put the #reComputer #RK3576 Dev Kit with #RK1820 AI Accelerator to the test. Running #Qwen 2.5-0.5B, it achieved an impressive 178.86 tokens/s in our test. 🧠 Rockchip RK3576… |
🔥🔥Real DATA: 30 FPS YOLO11n on the reComputer RK3576 Dev Kit Running #YOLO11n on the #reComputer #RK3576 Dev Kit, we achieved 30 FPS and even higher in our real-world testing. With further software optimization, there’s still room to… |
🔥🔥Officially Launched: reComputer #RK3576 Dev Kit with #RK1820 AI Accelerator — 26 TOPS of Edge AI Power The reComputer RK3576 Dev Kit combines the #RK3576 Compute Module + IO Board + Optional #RK1820 AI Accelerator into a complete… |
🚀🚀reComputer RK3576 IO Board is HERE!!! Simply pair it with the reComputer Rockchip #RK3576 Module and get access to a wide range of development-ready interfaces: 🔌 Gigabit Ethernet + PoE PD 💾 M.2 M-Key 2280, PCIe 2.1 🖥️ HDMI 2.1 +… |
🔥🔥NEW Launch: reComputer RK3576 Dev Kit/Module/IO Board is Officially HERE!!!! Level up your edge AI development with Rockchip #RK3576 today! 🎉 🧩🧩Dev Kit / Module / IO Board: https://t.co/xQVIT62cbw Powered by #Rockchip #RK3576… |