RZ/V2N Vision AI MPU: Launching Edge AI Platform for Robotic Arm Pick-and-Place on LiveBench
We are thrilled to launch the RZ/V2N Based Edge AI Development Platform for Robotic
Arm on LiveBench, a cutting-edge solution designed to accelerate innovation in robotic
arm-based pick-and-place applications. Built on the powerful RZ/V2N microprocessor
from Renesas by the talented MXT team (info@mxt.ro), this lab empowers engineers
and developers to evaluate high-performance vision AI at the edge for robotic arm-
based pick-and-place applications—instantly from any browser, anywhere in the world.
Whether you are prototyping for industrial automation, mobile robots, or visual inspection
systems, this platform delivers real-time processing capabilities that can transform your
projects.
Overcoming Edge AI Challenges with RZ/V2N for Robotic Pick-and-Place
Developing robotic arm-based pick-and-place applications often involves complex
challenges, such as sourcing specialized hardware, managing power efficiency, and
integrating real-time AI inference. Traditional evaluation methods require extensive local
setups, coordination with suppliers, and time-consuming iterations, which can delay time-to-market by weeks or months.
LiveBench changes this by providing remote access to real hardware, allowing you to
test and optimize edge AI solutions for robotic arms from anywhere. With this lab, you
can focus on innovation rather than logistics, streamlining the development of pick-and-
place systems that demand precise vision processing and low-latency performance.
Key Features: RZ/V2N DRP-AI3 Accelerator and 15 TOPS Vision AI Processing
The RZ/V2N MPU from Renesas, at the heart of this lab, is optimized for edge AI
applications in robotics.
Here is a breakdown of its standout features:
Feature | Description |
CPU Architecture | Quad Arm® Cortex®-A55 (1.8 GHz) + Arm® Cortex®-M33 (200 MHz) for robust processing. |
AI Accelerator | Renesas’ proprietary DRP-AI3 delivering up to 15 TOPS for efficient real-time vision AI. |
Image Processing | Integrated ISP with dual-channel MIPI® CSI-2® interfaces supporting dual cameras. |
Connectivity | High-speed PCIe® and USB 3.2 for seamless expansion and integration. |
Power Efficiency | Low consumption (3W-6W typical) ideal for fan-less, compact robotic systems. |
Monitoring Tools | Live thermal profiling, Dhrystone benchmarking, CPU/memory data, and program logs. |
These features make it perfect for building and testing custom applications on Ubuntu
20.04, with support for Linux Kernel 5.10 and Yocto 3.1 (Dunfell).
RZ/V2N Applications: Robotic Arm Pick-and-Place with Mobile Robots and Visual Inspection
This lab shines in robotic arm-based pick-and-place applications, where edge AI enables precise object detection, path planning, and real-time adjustments. Developed by the MXT team using Renesas RZ/V2N, it allows you to run experiments like performance benchmarking and thermal monitoring while evaluating DRP-AI for vision tasks.
Practical use cases include:
- Driver Monitoring Systems (DMS)
- Surveillance and monitoring cameras
- Mobile robots and industrial robotics
- Visual inspection in manufacturing
Engineers building similar pick-and-place solutions can upload custom applications, test them remotely, and download optimized code for deployment, reducing development
cycles by up to 50% compared to traditional methods.
Leverage the RZ/V2N’s DRP-AI3 for real-time object detection in mobile robots, mirroring Renesas applications like robot vacuum cleaners and AI dash cameras.
Discover more about the Renesas RZ/V2N vision AI MPU here, the foundation of this lab.
Remote Edge AI Evaluation: RZ/V2N Low Power Inference for Industrial Automation
By leveraging LiveBench, you gain:
Remote Access
Interact with live hardware via real-time video feeds and performance metrics.
Collaboration
Share sessions with teams for faster iterations in robotic arm projects.
Cost Savings: Eliminate the need for physical boards, cutting evaluation costs significantly.
Security
User space management protects your IP during development.
Scalability
Ideal for applications in industrial automation, robotics, and beyond.
This approach accelerates design cycles, enabling quicker prototyping for edge AI in
pick-and-place robotic arms.
Get Started: Test Renesas RZ/V2N AI MPU Instantly
Accelerate your robotic arm-based pick-and-place applications. Dive into
the RZ/V2N lab on LiveBench now and experience the future of edge AI development.
