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The RL78/L23 MCU combines ultra-low power operation with rich peripheral features, enabling high-level system design for consumer and industrial HMI applications. It supports capacitive touch sensing, segment LCD control, and advanced timer functions while minimizing system cost and footprint. With dual-bank flash memory, RL78/L23 allows seamless firmware updates without interrupting system operation.
Related Resources
本视频将向初次使用RL78产品家族的顾客介绍，使用 Fast Prototyping Board (FPB) 进行开发的步骤。指导顾客安装开发环境，使用示例代码生成项目以及项目运行后如何进行功能确认。本视频中使用FPB-RL78L23进行解说，但此开发步骤适用所有RL78产品的FPB。
章节标题
00:00 前言
01:00 出厂初始程序的运行
01:54 安装软件开发环境
03:10 使用示例代码生成项目
04:12 功能确认
相关资源
本视频介绍针对 RL78 系列的智能配置器。
00:00 视频开始
00:45 提供项目模板
00:53 支持使用电路板
01:00 下载软件
01:06 可视化配置
01:24 图形配置器
01:34 冲突检查
01:44 生成源代码
01:53 开发者辅助功能
This video demonstrates how to import sketches using the RL78 Arduino library into e² studio, as well as how to build and debug them. By debugging in e² studio, you can obtain detailed information and verify the internal workings of the library, which is not possible with the Arduino IDE.
Related Resources
这个视频介绍了如何使用ChatGPT和RL78 Arduino兼容板进行AI编程，包括点亮7段LED、旋转电机和使用温湿度传感器进行感应等实际例子。即使是初学者也能轻松体验AI编程！
详细的步骤介绍:
使用Chat-GPT为RL78微控制器（Arduino）编写AI代码 | Renesas
相关产品: RL78/G23-64p FPB
相关资源: Quick Start Guide page (GitHub)
Disclaimer:
１. Informational Purposes Only: This video serves as a general guide to using ChatGPT/GPT-4 to write code for an Arduino RL78 evaluation board. Renesas does not guarantee the accuracy or completeness of the content provided.
２. Third-Party Rights Infringement: Note that code generated using ChatGPT/GPT-4 might potentially infringe third-party intellectual property rights. Renesas makes no representations or warranties that the use of ChatGPT/GPT-4 will not violate any third-party rights. Users are urged to exercise due diligence to ensure compliance with applicable laws and third-party rights.
３. No Liability: In no event shall Renesas be liable for any damages, data loss, or other adverse consequences that may occur as a result of using the information, code, techniques, or tools demonstrated in this video. You may want to apply industry standard static and dynamic code assessments as AI code has been recognized to possibly contain malware fragments as well as deriving other unwanted outcomes.
本视频介绍在 RL78/G23-64p 快速原型板上, 如何使用 Arduino IDE 2 运行草图。
相关资源：快速入门指南页面 (GitHub)
00:00 开始
00:43 安装 Arduino IDE
01:13 安装工具
01:36 编写草图
01:56 设置 COM 端口
02:26 设置电路板
02:41 编译、上传、LED 闪烁
This video introduces RL78 LoRa®-based Solution.
It realizes a true low-power wireless IoT system by combination of the world's top-class low power RL78 microcontroller and LoRaWAN®
This video will show you how to set up the RL78 LoRaWAN® Sensor Demo.
Using the RL78 / G23 and LoRaWAN® ecosystem, you can realize both the "LoRaWAN sensor network evaluation" and "IoT system construction using LoRaWAN" with minimal man-hours.
This video will show the steps to connect and operate the RL78 Modbus evaluation environment for master and slave with sample software in the application note.
The evaluation environment uses Renesas' RL78/G22 Fast Prototyping Board and RS-485 Transceivers Evaluation Board.
RL78/G22 Modbus ASCII/RTU Application Note Rev.1.10 (ZIP | English, 日本語)
新闻和博客
新闻
2025年8月27日
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博客
2025年8月27日
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