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Auraflow โ€” Focus Companion Robot

A pomodoro companion robot that nudges deep-focus users toward scientific breaks.

MakerAI + IoT

Project Overview

A companion robot that watches your focus and physically nudges you to rest โ€” a tomato timer with a robotic arm. A brain-computer interface tracks concentration in real time; when focus drops, the arm intervenes (delivering a drink, for example), or a preset timer fires first.

Two trigger modes keep it non-intrusive: a customizable timed reminder, and active intervention the moment focus declines. TuyaOpen's cloud multi-modal AI ties the brain-computer interface, YOLO object detection, and the Lerobot SO100 arm into one system that adapts per user.

Auraflow Project Screenshot

Features

  • Tangible guardian (robotic arm physical interaction)
  • Precise insight (brain-computer interface real-time monitoring)
  • Active intervention (threshold trigger mechanism)
  • Empowerment growth (focus training)
  • Personalized optimization (adjustable thresholds and duration)
  • Small GUI screen for user interaction
  • Non-intrusive physical reminders

Technology Stack

  • TuyaOpen Framework: Complete AIoT platform enabling seamless integration of complex systems with cloud AI
  • Robotics: Robotic arm trajectory planning, Lerobot SO100 setup and control
  • AI Processing: Cloud-based YOLO object detection through TuyaOpen
  • Interface: Frontend development, brain-computer interface visualization with cloud connectivity
  • Hardware: Small GUI screen, robotic arm system with cloud AI integration
  • Software: Focus monitoring algorithms, intervention mechanisms powered by cloud AI

Quick Start

  1. Set up the robotic arm system (Lerobot SO100)
  2. Configure the brain-computer interface
  3. Implement YOLO object detection
  4. Set up the GUI interface
  5. Configure focus monitoring algorithms
  6. Set intervention thresholds and timing
  7. Test the complete system integration

๐Ÿš€ Go to Project Repository

Copyright & License

This project was developed as part of Adventure X 2025 Hangzhou Hackathon. The project and all its components are owned by the participating team members and contest participants. All rights reserved.