ADACHI

ADACHI-BOARD

Custom Embedded Control Board for Mini Sumo Robotics

ESP32-S3 | PCB Design | Motor Control | Embedded Systems

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📍 Overview

ADACHI-BOARD is a custom-designed embedded control board developed for Mini Sumo robotic applications, focused on real-time control, compact PCB design, and competition-grade reliability.

This project was created as part of my professional and academic development in Robotics, Embedded Systems, and Industrial Electronics, and it is intended to serve as both a functional robotic platform and a technical portfolio project.

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🎯 Project Objectives

• Design a compact and robust PCB for competitive robotics
• Implement reliable motor control using discrete drivers
• Apply best practices in embedded hardware design
• Demonstrate skills in:
  • PCB design
  • Power regulation
  • Microcontroller integration
  • Robotics-oriented system architecture

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⚙️ System Architecture

• Main MCU: ESP32-S3 Mini-1U
• Motor Control: Dual DRV8871 DC motor drivers
• Sensors: Support for up to 10 external sensors
• Actuators: 2 servo outputs
• User Interface: Hardware buttons for strategy selection
• Programming Interface: TTL (UART)

The board is designed to minimize latency and allow fast response times, which are critical in competitive robotics environments.

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📐 Technical Specifications

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🔘 Hardware Controls

• RESET – Microcontroller reset
• BOOT – Programming mode access
• STRATEGY 1 – Strategy selection input
• STRATEGY 2 – Strategy selection input

These buttons allow strategy changes without reflashing firmware, improving usability during competitions or testing.

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🧠 Design Considerations

• Compact footprint optimized for Mini Sumo chassis
• Separation of power and logic domains
• Component selection focused on availability and reliability
• Design prepared for iterative improvement and future expansion

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📂 Repository Structure

(Structure may evolve as the project progresses)

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🚧 Project Status

• ✔ PCB design completed
• ✔ Component selection validated
• 🔄 Firmware development in progress
• 🔄 Testing and optimization phase

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🔮 Planned Improvements

• Encoder feedback integration
• Power efficiency optimization
• Enhanced firmware architecture
• Step-by-step replication documentation
• Optional telemetry and data logging

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👨‍💻 About the Author

Areivan
Industrial Robotics Engineering Student
Industrial Maintenance Technician

• Experience in embedded systems and PCB design
• Background in industrial automation and maintenance
• Focused on robotics, electronics, and applied engineering

🔗 GitHub: https://github.com/AREIVAN

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📜 License & Usage

This project is intended for educational and experimental purposes.
You may reference or reuse the design with proper credit to the author.