purdue-arc/sphero-swarm
Feb 2025 – Sep 2025
3 Months active
Languages Used
PygamePythonC++
Technical Skills
Algorithm DevelopmentAlgorithm ImplementationCollision DetectionGame DevelopmentObject-Oriented ProgrammingPhysics Engine
Siddh Saxena
PROFILE
Siddh Saxena
Saket Saxena developed core simulation and control features for the purdue-arc/sphero-swarm repository, focusing on scalable swarm robotics. Over three months, he architected a modular Python and Pygame-based simulation, introducing a dedicated algorithm module, object-oriented Sphero classes, and configurable grid systems. He implemented bonding logic for coordinated group movement, centralized constants for maintainability, and enhanced collision detection and edge-case handling. Saket also improved debugging workflows and simulation visualization, addressing real-world deployment risks and streamlining troubleshooting. His work combined algorithm design, robotics simulation, and refactoring, resulting in a more robust, configurable, and maintainable codebase for swarm robotics research and development.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
21Total
Bugs
1
Commits
21
Features
6
Lines of code
2,971
Activity Months3
Your Network
116 people
Work History
September 2025
7 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for purdue-arc/sphero-swarm: Delivered a major architectural refresh and swarm coordination enhancements, enabling more scalable and configurable sphero simulations with clearer separation of concerns.
7 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for purdue-arc/sphero-swarm: Delivered a major architectural refresh and swarm coordination enhancements, enabling more scalable and configurable sphero simulations with clearer separation of concerns.
September 2025
April 2025
8 Commits • 2 Features
Apr 1, 2025April 2025 performance highlights for purdue-arc/sphero-swarm focused on stabilizing swarm control, improving debugging efficiency, and enhancing visualization for development and testing. The work delivered reduces operating risk in real-world deployments and accelerates troubleshooting with clearer diagnostics and field feedback.
April 2025
8 Commits • 2 Features
Apr 1, 2025April 2025 performance highlights for purdue-arc/sphero-swarm focused on stabilizing swarm control, improving debugging efficiency, and enhancing visualization for development and testing. The work delivered reduces operating risk in real-world deployments and accelerates troubleshooting with clearer diagnostics and field feedback.
February 2025
6 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for purdue-arc/sphero-swarm: Delivered Sphero bonding and simulation improvements enabling coordinated swarm behavior. Implemented bonding mechanism, refined movement simulation, and enhanced edge-case handling; addressed out-of-bounds errors and collision scenarios; improved code readability with added in-code comments; overall performance and reliability improvements across the swarm module.
6 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for purdue-arc/sphero-swarm: Delivered Sphero bonding and simulation improvements enabling coordinated swarm behavior. Implemented bonding mechanism, refined movement simulation, and enhanced edge-case handling; addressed out-of-bounds errors and collision scenarios; improved code readability with added in-code comments; overall performance and reliability improvements across the swarm module.
February 2025
Activity
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Quality Metrics
Correctness79.0%
Maintainability81.4%
Architecture68.6%
Performance63.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PygamePython
Technical Skills
Algorithm DesignAlgorithm DevelopmentAlgorithm ImplementationBug FixingCollision DetectionConstants ManagementDebuggingEmbedded SystemsGame DevelopmentGrid SystemsObject-Oriented ProgrammingPhysics EnginePygamePythonPython Development
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