purdue-arc/sphero-swarm
Feb 2025 – Apr 2025
2 Months active
Languages Used
Python
Technical Skills
Collision DetectionGame DevelopmentPhysics EngineSimulationAlgorithm DevelopmentControl Systems
sebastianrodriguez
PROFILE
Sebastianrodriguez
Sebastian Brod developed and refined core simulation features for the purdue-arc/sphero-swarm repository, focusing on boundary collision handling and movement logic for Sphero robots. Using Python and leveraging skills in collision detection, control systems, and simulation, he improved boundary enforcement, wall reflection, and speed reversal to ensure stable and realistic Sphero behavior. Sebastian addressed edge-case errors such as out-of-bounds conditions and bonded group collisions, enhancing simulation fidelity and robustness. He also fixed a turning bug and improved movement vector calculations, laying the groundwork for scalable bonding logic. His work contributed to more reliable demonstrations and larger-scale robotic simulations.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
156
Activity Months2
Your Network
116 people
Work History
April 2025
1 Commits
Apr 1, 2025April 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.
1 Commits
Apr 1, 2025April 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.
April 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 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.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 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
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