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RoboChallenge 2024 - Line Follower Classic, Turbo, and Enhanced Categories

✨ This year’s RoboChallenge 2024 was an unforgettable experience, filled with adrenaline, innovation, and intense competition! Representing the JSumo team, JSUMO_LF excelled in three categories, showcasing incredible adaptability and performance.

JSUMO_LF robot 🎥 View Video – Watch JSUMO_LF in action during the competition

Key Highlights

  • Line Follower Enhanced: 6th out of 41 – my strongest finish yet!
  • Line Follower Turbo: 20th out of 56 – pushing the limits with speed and precision!
  • Line Follower Classic (Kids): 12th out of 52 – a solid run for JSUMO_LF!

Big thanks to the incredible @jsumocom team for their support.Excited to build on this experience for the future!

Repository Contents

  • 🤖 Source Code: Explore the well-documented codebase behind JSUMO_LF's 2024 performance.
  • 📋 Documentation: Dive into additional details to understand the architecture and design choices.
  • 📹 Media: See JSUMO_LF in action through photos and videos from RoboChallenge 2024, in 🎥 View Media folder and also on my instagram @andreip851.

Components Used

  • Microcontroller: JSumo XMotion
  • Motors: Custom JSumo Motors
  • Wheels: Custom JSumo Wheels
  • Sensors:
    • Pololu QTR16A Sensor Array with Multiplexer Adapter
    • Pololu Distance Sensor
  • EDF: QX-Motor 30mm for downforce
  • ESC: BlHeli 30A
  • Power Supply: 3S 450mAh Battery
  • Additional Module: JSumo Start/Stop Module

Future Upgrades

  • Lightweight chassis for improved maneuverability
  • Faster gear ratio for increased speed
  • Switch from EDF to a Centrifugal Suction system for enhanced stability
  • Custom sensor bar with multiplexer for optimized line detection

🚗🌟 The robotics adventure continues! Looking forward to 2025’s competitions.

Sponsors

A special thanks to JSumo, for their invaluable support! JSumo Logo

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

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RoboChallenge2024 Line Follower Categories - Team JSUMO

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