purdue-arc/sphero-swarm
Mar 2025 – Oct 2025
2 Months active
Languages Used
Python
Technical Skills
Control SystemsPythonRoboticsSoftware OrganizationAPI IntegrationConcurrency
zhangPurdueARC
PROFILE
Zhangpurduearc
Zhan worked on the purdue-arc/sphero-swarm repository, delivering three features over two months focused on multi-robot control and system reliability. He refactored the Sphero swarm control logic, reorganizing the codebase for maintainability and enhancing instruction handling to reduce runtime errors. Using Python and leveraging skills in control systems and networking, Zhan implemented a solar system simulation module that coordinated multiple Sphero robots to display planetary matrices. He also improved the server’s connection handling, introduced a dedicated test client, and modularized the codebase, resulting in higher test coverage, easier onboarding, and a more robust foundation for future robotics development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
949
Activity Months2
Your Network
116 people
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary focused on key business value and technical achievements. Delivered two major features for Purdue Arc Sphero Swarm, enhanced testing and reliability, and strengthened multi-robot demonstration capabilities to improve stability, demonstrability, and future-ready extensibility. Key outcomes include: - Sphero Swarm Server Improvements: Refactored server to improve connection handling and command processing; added a new test client for verifying server functionality; introduced configurable movement parameters and support for multiple Sphero IDs for testing and demonstration. - Solar System Simulation for Sphero Robots: Implemented a solar system simulation via a new Python module; refactored for easier imports; coordinated multiple Sphero robots to display planetary matrices (Mercury, Venus, Earth); updates include identifier and speed adjustments for circle commands and multi-robot control. Impact and value: - Higher reliability and test coverage reduce risk in production deployments and accelerate validation cycles. - Enhanced demonstration capabilities enable more compelling stakeholder and customer demonstrations, supporting business development and internal training. - Modular, import-friendly code improves maintainability and future feature integration. Technologies/skills demonstrated: - Python module development, refactoring, and modularization - Test-driven validation with a dedicated test client - Multi-robot orchestration and controller coordination - Cross-feature integration and scalable test scaffolding
4 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary focused on key business value and technical achievements. Delivered two major features for Purdue Arc Sphero Swarm, enhanced testing and reliability, and strengthened multi-robot demonstration capabilities to improve stability, demonstrability, and future-ready extensibility. Key outcomes include: - Sphero Swarm Server Improvements: Refactored server to improve connection handling and command processing; added a new test client for verifying server functionality; introduced configurable movement parameters and support for multiple Sphero IDs for testing and demonstration. - Solar System Simulation for Sphero Robots: Implemented a solar system simulation via a new Python module; refactored for easier imports; coordinated multiple Sphero robots to display planetary matrices (Mercury, Venus, Earth); updates include identifier and speed adjustments for circle commands and multi-robot control. Impact and value: - Higher reliability and test coverage reduce risk in production deployments and accelerate validation cycles. - Enhanced demonstration capabilities enable more compelling stakeholder and customer demonstrations, supporting business development and internal training. - Modular, import-friendly code improves maintainability and future feature integration. Technologies/skills demonstrated: - Python module development, refactoring, and modularization - Test-driven validation with a dedicated test client - Multi-robot orchestration and controller coordination - Cross-feature integration and scalable test scaffolding
October 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on Sphero swarm control refactor and reliability improvements. Key actions included reorganizing the control codebase, enhancing instruction handling in command_client_auto, and adding a new run function to streamline script execution. These changes reduce maintenance overhead and improve deployment reliability for the Sphero swarm.
March 2025
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on Sphero swarm control refactor and reliability improvements. Key actions included reorganizing the control codebase, enhancing instruction handling in command_client_auto, and adding a new run function to streamline script execution. These changes reduce maintenance overhead and improve deployment reliability for the Sphero swarm.
Activity
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Quality Metrics
Correctness76.0%
Maintainability76.0%
Architecture72.0%
Performance64.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationConcurrencyControl SystemsInter-Process CommunicationNetworkingPythonPython ScriptingRoboticsRobotics ControlSoftware OrganizationTesting
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