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ATEM v1.0.0
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@torinriley torinriley released this 17 Nov 20:35
· 96 commits to main since this release
v1.0.0
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ATEM Adaptive Robot Control Framework v1.0.0

The ATEM (Adaptive Task Execution Manager) is a Python-based machine learning framework designed for FTC robots to dynamically adapt their task execution strategies. It integrates a TensorFlow Lite model with A* pathfinding to optimize autonomous operations on the FTC field.

Features

AI-Powered Task Selection:

  • Processes real-time sensor data (e.g., time, distance, gyro, battery).
  • Predicts the next optimal task using a trained TensorFlow Lite model.

A Pathfinding for Navigation*:

  • Robot moves autonomously on the FTC field, avoiding obstacles.
  • Compatible with FTC wheel and arm control functions.

Modular Design:

  • Python package structure allows easy integration into robotics projects.
  • Java interoperability to run directly on FTC robot controllers.

Robust Training Pipeline:

  • Train adaptive models to fine-tune task prioritization.
  • Generate, interpret, and deploy tasks dynamically.
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