FPB-RL78

Learn the steps required to create an application that uses capacitive touch sensing with IAR Embedded Workbench. The RL78/G22 Fast Prototyping Board equipped with touch electrodes is used in this section. The content is divided into three parts, with Part 1 explaining how to create a project using Smart Configurator.

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

• RL78/G23-64p FPB Arduino library
• e² studio
• RL78/G23-64p Fast Prototyping Board

Learn the steps required to create an application that uses capacitive touch sensing with IAR Embedded Workbench. The RL78/G22 Fast Prototyping Board equipped with touch electrodes is used in this section. The content is divided into three parts, with Part 2 explaining how to create and tune the touch interface.

This video demonstrates how to read from and write to an SD card using the RL78/G23-128p Fast Prototyping Board and the SdFat library.

Related Resources

RL78 Arduino Wiki

• Renesas RL78 Arduino Wiki

Video

• RL78 Arduino Quick Start Guide

Software

• Arduino IDE
• RL78/G23-128p FPB Arduino library
• SdFat

Hardware

• RL78/G23-128p FPB
• Digilent Pmod SD
• SanDisk ultra 32GB

Learn the steps required to create an application that uses capacitive touch sensing with IAR Embedded Workbench. The RL78/G22 Fast Prototyping Board equipped with touch electrodes is used in this section. The content is divided into three parts, with Part 3 explaining how to monitor the touch interface.

This video introduces how to display strings on OLED using RL78/G23-64p Fast Prototyping Board and U8g2 library.

This video guide shows how to visualize sensor information through a connection with Amazon Web Services (AWS) by LTE communications. The target MCU is an RL78/G23. Please refer to the "RL78/G23-128p Application Note" for more information.

This video guide shows how to visualize sensor information through a connection with Amazon Web Services (AWS) by LTE communications. The target MCU is an RL78/G23. Please refer to the RL78/G23-128p Application Note for more information.

This video will show the steps to operate the secondary device OTA firmware update solution via primary device with the AWS Cloud, tailored for low-end microcontrollers lacking direct internet connectivity.

The evaluation environment uses Renesas' RL78/G22 Fast Prototyping Board and Cloud Kit Based on RX65N (CK-RX65N).

• RL78/G22 OTA Firmware Update for a Secondary MCU Rev.1.10 (ZIP | English, 日本語)

This video introduces how to do AI coding using ChatGPT and the RL78 Arduino-compatible board, including practical examples such as lighting up a 7Seg LED, rotating a motor, and sensing with a temperature and humidity sensor. Even beginners can easily experience AI coding!

Detailed step-by-step instructions:

AI Coding with Chat-GPT for RL78 Microcontroller (Arduino) | Renesas

Related products: RL78/G23-64p FPB

Related sources: 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.

This video will show the steps to operate MQTT communication for send and receive (Publish/Subscribe) via MQTT Broker in an LTE CAT-M1 cellular communication with sample software in the application note.

The evaluation environment uses Renesas' RL78/G22 Fast Prototyping Board and PMOD Expansion Board for RYZ024A.

• RL78/G22 LTE MQTT Communication Application Note Rev.1.20 (ZIP | English, 日本語)

This video introduces how to run a sketch on the RL78/G23-64p Fast Prototyping Board using the Arduino IDE 2.

Related resources: Quick Start Guide page (GitHub)

This video introduces how to add the RL78 board platform released by Renesas Electronics 
on GitHub to Arduino IDE version 1 and run sketches.

Related resources: Quick Start Guide page (GitHub)

This video introduces how to run a sketch on the RL78/G23 Fast Prototyping Board using the Arduino IDE.

Related resources: Quick Start Guide page (GitHub)

This video guides you through the development process using the FPB for RL78, covering three key steps: installing the IDE, generating a project with sample code, and verifying its operation. The video uses the FPB-RL78L23 as an example, but the process applies to FPBs for all RL78 products.

Related Resources

• Fast Prototyping Board for RL78 Family
• RL78 Family Low-Power 8 & 16-Bit Microcontrollers (MCUs)
• RL78/L23 LCD Display (Clock Demo) Application Note