
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.
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.
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 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 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.

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