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sebastianrodriguez

PROFILE

Sebastianrodriguez

Worked on the purdue-arc/sphero-swarm repository to enhance the Sphero simulation by improving boundary collision handling and refining movement calculations. Applied Python to develop robust collision detection and control systems, ensuring accurate boundary enforcement, wall reflection, and speed reversal for both individual and bonded Spheros. Addressed edge-case errors such as out-of-bounds conditions and bonded group behavior during collisions, which improved simulation stability and fidelity. Additionally, fixed a bug affecting Sphero turning and increased the precision of movement vectors and field dimensions. Initiated groundwork for bonding logic, enabling larger-scale simulations and more realistic robotics behavior within the simulation environment.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

3Total
Bugs
1
Commits
3
Features
1
Lines of code
156
Activity Months2

Work History

April 2025

1 Commits

Apr 1, 2025

April 2025: Focused on stabilizing Sphero turning, refining movement calculations, and laying the groundwork for bonding in the sphero-swarm simulation. Delivered a targeted bug fix for sphero turning, improved field dimension precision and movement vector calculations, and initiated bonding logic to enable larger-scale simulations with more Spheros.

February 2025

2 Commits • 1 Features

Feb 1, 2025

February 2025 monthly summary for purdue-arc/sphero-swarm: Delivered boundary collision handling improvements to the Sphero simulation, enhancing boundary enforcement, wall reflection, and target recalculation for both individual spheros and bonded groups. Aligned screen dimensions with defined boundaries and implemented speed reversal on collisions to maintain stable motion. This work directly improves simulation fidelity, stability, and user experience, while reducing edge-case errors. Notable commits fixed edge cases such as out-of-bounds errors and bonded motion when colliding with walls, contributing to more robust behavior in production demonstrations and tests.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture63.4%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Algorithm DevelopmentCollision DetectionControl SystemsGame DevelopmentPhysics EngineRoboticsSimulation

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

purdue-arc/sphero-swarm

Feb 2025 Apr 2025
2 Months active

Languages Used

Python

Technical Skills

Collision DetectionGame DevelopmentPhysics EngineSimulationAlgorithm DevelopmentControl Systems