purdue-arc/sphero-swarm
Feb 2025 – Mar 2025
2 Months active
Languages Used
Python
Technical Skills
API IntegrationCode DocumentationConcurrencyEmbedded SystemsMultithreadingNetworking
Drep2718
PROFILE
Drep2718
Developed a scalable multi-robot control framework for the purdue-arc/sphero-swarm repository, focusing on leader-follower coordination and synchronized command execution for Sphero robots. Leveraging Python, networking, and multithreading, the work introduced waypoint-based navigation, real-time event handling, and robust server-side control using socket programming and pickle serialization. The developer emphasized maintainability by delivering comprehensive code documentation, reorganizing project files, and clarifying concurrency and connection management. These efforts enabled reliable, repeatable robotics experiments and streamlined onboarding for new contributors. Over two months, five features were delivered, establishing a solid foundation for future robotics research and collaborative development within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
5
Lines of code
529
Activity Months2
Your Network
19 peopleShared Repositories
19
Alan KangMember
Quasi_Mot0Member
Anuva KotaMember
Aiden GMember
Jack-CrowleyMember
jwjarroMember
MadhavMember
Naunidha SinghMember
Priyanka SoeMember
Work History
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for purdue-arc/sphero-swarm. This period focused on delivering coordinated multi-robot control capabilities and improving code maintainability to accelerate future experiments and team onboarding. Key outcomes include feature delivery, better code readability, and readiness for scaling the robotics experiments across additional robots.
3 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for purdue-arc/sphero-swarm. This period focused on delivering coordinated multi-robot control capabilities and improving code maintainability to accelerate future experiments and team onboarding. Key outcomes include feature delivery, better code readability, and readiness for scaling the robotics experiments across additional robots.
March 2025
February 2025
7 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for purdue-arc/sphero-swarm: Delivered foundational leader-follower coordination and a scalable multi-robot control framework in Python, with server scaffolding and thorough documentation to accelerate future work.
February 2025
7 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for purdue-arc/sphero-swarm: Delivered foundational leader-follower coordination and a scalable multi-robot control framework in Python, with server scaffolding and thorough documentation to accelerate future work.
Activity
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Quality Metrics
Correctness84.0%
Maintainability92.0%
Architecture76.0%
Performance76.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationCode DocumentationConcurrencyEmbedded SystemsFile ManagementMulti-threadingMultithreadingNetworkingPythonPython ScriptingRoboticsSerializationServer-side DevelopmentSocket Programming
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