purdue-arc/sphero-swarm
Jan 2025 – Oct 2025
6 Months active
Languages Used
PythonPygameGit ConfigurationGit IgnoreMarkdown
Technical Skills
Game DevelopmentPygameSimulationSimulation DevelopmentAPI IntegrationAlgorithm Design
alankang30
PROFILE
Alankang30
Alan Kang developed and maintained the purdue-arc/sphero-swarm repository, building a modular simulation and control framework for Sphero robot swarms. He implemented grid-based movement, collision avoidance, and real-time coordinate streaming using Python, Pygame, and ZeroMQ, enabling scalable multi-robot experiments and remote orchestration. Alan focused on code organization, threading, and robust client-server communication, introducing a Sphero Spotter module for real-time sensing and control. He improved maintainability through documentation, refactoring, and repository hygiene, while enhancing simulation realism and test coverage. His work established a reusable foundation for robotics research, supporting rapid prototyping, reproducible experiments, and future extensibility in swarm robotics.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
47Total
Bugs
1
Commits
47
Features
12
Lines of code
3,567
Activity Months6
Your Network
18 people
Work History
October 2025
9 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for purdue-arc/sphero-swarm: Delivered foundational Sphero Spotter features enabling real-time coordinate streaming and remote control via a ZeroMQ-based client-server channel. Introduced SpheroCoordinate model, threaded listener with lifecycle management, graceful shutdown, and enhanced protocol documentation, laying the groundwork for scalable swarm coordination. Completed project restructuring to improve maintainability by removing outdated YOLO experiments, updating model loading paths, and cleaning the perception module. Fixed critical threading issues to stabilize streaming and control paths, and updated dependencies to reflect the new architecture. These changes collectively enable robust real-time swarm sensing/control, reduce technical debt, and accelerate onboarding and future feature work.
9 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for purdue-arc/sphero-swarm: Delivered foundational Sphero Spotter features enabling real-time coordinate streaming and remote control via a ZeroMQ-based client-server channel. Introduced SpheroCoordinate model, threaded listener with lifecycle management, graceful shutdown, and enhanced protocol documentation, laying the groundwork for scalable swarm coordination. Completed project restructuring to improve maintainability by removing outdated YOLO experiments, updating model loading paths, and cleaning the perception module. Fixed critical threading issues to stabilize streaming and control paths, and updated dependencies to reflect the new architecture. These changes collectively enable robust real-time swarm sensing/control, reduce technical debt, and accelerate onboarding and future feature work.
October 2025
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for purdue-arc/sphero-swarm focused on onboarding, maintainability, and foundational scaffolding for new capabilities. Delivered concrete documentation, repository hygiene improvements, and an initial program scaffold to accelerate future feature work. These changes reduce onboarding time, minimize accidental large-file commits, and establish a solid base for upcoming development.
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for purdue-arc/sphero-swarm focused on onboarding, maintainability, and foundational scaffolding for new capabilities. Delivered concrete documentation, repository hygiene improvements, and an initial program scaffold to accelerate future feature work. These changes reduce onboarding time, minimize accidental large-file commits, and establish a solid base for upcoming development.
April 2025
8 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for purdue-arc/sphero-swarm focusing on Sphero swarm simulation UI/rendering, movement realism, and testing infrastructure. Key work delivered stabilized and expanded the simulation environment, improved motion fidelity, and strengthened test coverage while maintaining a clear focus on business value and developer efficiency.
8 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for purdue-arc/sphero-swarm focusing on Sphero swarm simulation UI/rendering, movement realism, and testing infrastructure. Key work delivered stabilized and expanded the simulation environment, improved motion fidelity, and strengthened test coverage while maintaining a clear focus on business value and developer efficiency.
April 2025
March 2025
8 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for purdue-arc/sphero-swarm: Delivered core coordination features and stability improvements for a swarm of Sphero objects, enabling cohesive formations and safer movement in simulations. Significant progress on grid-based positioning, proximity-based bonding, movement control, and a cleaned, well-documented simulation environment. These efforts reduce risk in multi-robot demos and accelerate ongoing development.
March 2025
8 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for purdue-arc/sphero-swarm: Delivered core coordination features and stability improvements for a swarm of Sphero objects, enabling cohesive formations and safer movement in simulations. Significant progress on grid-based positioning, proximity-based bonding, movement control, and a cleaned, well-documented simulation environment. These efforts reduce risk in multi-robot demos and accelerate ongoing development.
February 2025
15 Commits • 1 Features
Feb 1, 2025February 2025 performance snapshot for Purdue-ARC sphero-swarm: - Delivered a complete Sphero-based swarm simulation framework and driver enabling scalable multi-sphero experiments. Core movement logic executed on a triangular grid with rendering hooks, and collision/distance handling using EPSILON, plus color cycling across spheros for clear visualization. - Implemented a driver/interface to initialize and control multiple spheros, and established a field-based validation system with initial server communication groundwork to support remote orchestration and data collection. - Achieved early multi-sphero scalability (documented improvements to handle more than 6 spheros) and ongoing refactoring to improve readability and future extensibility. - Refined class design and state management for spheroids (direction tracking) and consolidated the 3-sphero workflow. Business and technical impact: accelerates rapid prototyping of swarm behaviors, enables reproducible experiments, and lays the foundation for telemetry, remote control, and integration with higher-level planning.
15 Commits • 1 Features
Feb 1, 2025February 2025 performance snapshot for Purdue-ARC sphero-swarm: - Delivered a complete Sphero-based swarm simulation framework and driver enabling scalable multi-sphero experiments. Core movement logic executed on a triangular grid with rendering hooks, and collision/distance handling using EPSILON, plus color cycling across spheros for clear visualization. - Implemented a driver/interface to initialize and control multiple spheros, and established a field-based validation system with initial server communication groundwork to support remote orchestration and data collection. - Achieved early multi-sphero scalability (documented improvements to handle more than 6 spheros) and ongoing refactoring to improve readability and future extensibility. - Refined class design and state management for spheroids (direction tracking) and consolidated the 3-sphero workflow. Business and technical impact: accelerates rapid prototyping of swarm behaviors, enables reproducible experiments, and lays the foundation for telemetry, remote control, and integration with higher-level planning.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments, business impact, and technical achievements for purdue-arc/sphero-swarm. Delivered an initial Sphero robot simulation with a triangular grid using Pygame, establishing a reusable sandbox for robotics experimentation and algorithm validation. Implemented the rendering loop, grid visualization, and input handling to support rapid iteration on path planning and behavior development. Subsequent updates improved project clarity and usability by increasing TRIANGLE_SIZE and renaming the grid script for a variant of the simulation.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments, business impact, and technical achievements for purdue-arc/sphero-swarm. Delivered an initial Sphero robot simulation with a triangular grid using Pygame, establishing a reusable sandbox for robotics experimentation and algorithm validation. Implemented the rendering loop, grid visualization, and input handling to support rapid iteration on path planning and behavior development. Subsequent updates improved project clarity and usability by increasing TRIANGLE_SIZE and renaming the grid script for a variant of the simulation.
Activity
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Quality Metrics
Correctness78.0%
Maintainability80.0%
Architecture72.4%
Performance68.0%
AI Usage20.4%
Skills & Technologies
Programming Languages
Git ConfigurationGit IgnoreMarkdownPygamePython
Technical Skills
API IntegrationAlgorithm DesignAlgorithm DevelopmentAlgorithm ImplementationCode CleanupCode OrganizationCode RefactoringComputer VisionConcurrencyConstants ManagementControl SystemsDebuggingDocumentationDriver DevelopmentEmbedded Systems
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