VEXLib

https://github.com/deekb/VEXLib

VEXLib is a comprehensive framework for VEX V5 robotics development. It combines simulation tools, unit and integration testing, log recording and visualization, and utilities for drivetrain, autonomous routines, and robot subsystem management. It simplifies robot development while providing a structured, robust, and fun development environment.

Snippet of Github README for VEXLib
Snippet of Github README for VEXLib

Why It’s Useful

Developing and testing robot code can be challenging, especially when dealing with multiple subsystems and complex autonomous routines. VEXLib streamlines development by providing prebuilt utilities, simulations, and logging tools that make testing, analysis, and deployment faster and more reliable.

  • Simulate robot behavior and test autonomous routines before deploying to hardware
  • Analyze performance data from logs and optimize PID and motion control
  • Reduce development errors and improve reliability during competitions

Key Features Include

  • Subsystem Management: Modular robot subsystems for drivetrain, clamps, scorers, wall stakes, and more.
  • Simulation Tools: Dijkstra pathfinding, PID analysis, and environment modeling for testing robot behaviors without hardware.
  • Deployment Tools: Automated code push to removable media or SD cards, with logging and configuration management.
  • Logging and Analysis: Capture drivetrain and mechanism performance, visualize logs, and generate insights for tuning and strategy.
  • Utilities: Friction testers, serial communication diagnostics, environment map encoders, and other helpful tools for VEX development.
  • Testing Suite: Unit and integration tests to ensure robot code works reliably before deployment.
  • Documentation: Full docs included for reference, tutorials, and API guides.

In Summary

VEXLib is designed to make VEX robot development structured, reliable, and efficient. With simulation, logging, testing, and utilities all in one framework, teams can focus on building innovative robots without worrying about code reliability or integration issues.

Two Source Pose Fusion With Gaussian Noise Simulation from VEXLib

Development Highlights

VEXLib is written in Python with structured modules for core code, simulation, utilities, and deployment. It supports automated testing, log collection, and data analysis. Deployment scripts push code and assets to removable storage, and the system was designed to be extensible for additional subsystems, simulation tools, and logging features.

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