purdue-arc/sphero-swarm
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
Python programmingalgorithm designalgorithm developmentgame developmentloggingmultithreading
jwjarro
PROFILE
Jwjarro
Developed and released the Sphero Swarm Calibration Driver in the purdue-arc/sphero-swarm repository, establishing a foundation for reliable swarm control and maintainability. Leveraging Python, socket programming, and algorithm design, the driver introduced grid-based movement and precise Sphero instance initialization, enabling accurate swarm positioning. A centralized configuration layer and a Constants class standardized driver settings, while enhanced logging and code readability improved debugging and future extensibility. The addition of a grid length calibration script reduced setup time and ensured consistent calibration. These efforts provided a robust base for future feature expansion and improved the reliability of swarm operations in robotics applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
229
Activity Months1
Your Network
19 peopleShared Repositories
19
Work History
April 2026
4 Commits • 1 Features
Apr 1, 2026April 2026: Delivered foundational Sphero Swarm Calibration Driver and related improvements to enable reliable swarm control and maintainability. The release introduces grid-based movement, socket-based communication, and initialization of Sphero instances with robust movement instruction delivery, enabling precise positioning in a swarm. A centralized configuration layer and enhanced logging/readability improvements improve debugging efficiency and future extensibility. Support tooling includes a grid length calibration script and a Constants class to standardize driver configuration. Minor code quality improvements—such as commenting the nextVectorDirection function and adding indentation to logs—further enhance traceability. Business impact: improved swarm operation reliability, reduced calibration/setup time, and a solid base for future feature expansion and scalability.
4 Commits • 1 Features
Apr 1, 2026April 2026: Delivered foundational Sphero Swarm Calibration Driver and related improvements to enable reliable swarm control and maintainability. The release introduces grid-based movement, socket-based communication, and initialization of Sphero instances with robust movement instruction delivery, enabling precise positioning in a swarm. A centralized configuration layer and enhanced logging/readability improvements improve debugging efficiency and future extensibility. Support tooling includes a grid length calibration script and a Constants class to standardize driver configuration. Minor code quality improvements—such as commenting the nextVectorDirection function and adding indentation to logs—further enhance traceability. Business impact: improved swarm operation reliability, reduced calibration/setup time, and a solid base for future feature expansion and scalability.
April 2026
Activity
Loading activity data...
Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Python programmingalgorithm designalgorithm developmentgame developmentloggingmultithreadingroboticssocket programmingsoftware development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline