purdue-arc/sphero-swarm
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
DebuggingPythonSoftware Developmentalgorithm designgame developmentsimulation development
Aiden G
PROFILE
Aiden G
Worked on the purdue-arc/sphero-swarm repository to enhance simulation reliability and realism by addressing both feature development and bug resolution. Introduced a randomized epsilon threshold in Python to determine when the Sphero robot reaches its target, improving the fidelity of simulation outcomes and supporting more realistic algorithm design. Corrected an import path in algorithm.py to ensure constants are accessed through the proper module, reducing potential runtime and import-time errors. Focused on maintainability and traceability by making concise, well-documented commits. Demonstrated skills in debugging, simulation development, and software engineering, contributing to a more robust and maintainable codebase.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
9
Activity Months1
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137 peopleShared Repositories
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Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered two key updates for purdue-arc/sphero-swarm focusing on reliability and simulation realism. Implemented a corrected import path to access constants via the proper module path (bug fix) and introduced a randomized epsilon threshold (randomEpsilon) for determining when the Sphero reaches its target, enhancing realism. These changes reduce import-time/runtime errors, improve simulation fidelity, and support maintainability and traceability through concise commits.
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered two key updates for purdue-arc/sphero-swarm focusing on reliability and simulation realism. Implemented a corrected import path to access constants via the proper module path (bug fix) and introduced a randomized epsilon threshold (randomEpsilon) for determining when the Sphero reaches its target, enhancing realism. These changes reduce import-time/runtime errors, improve simulation fidelity, and support maintainability and traceability through concise commits.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
DebuggingPythonSoftware Developmentalgorithm designgame developmentsimulation development
Repositories Contributed To
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