purdue-arc/sphero-swarm
Nov 2024 – Mar 2025
4 Months active
Languages Used
Python
Technical Skills
Computer VisionObject DetectionObject TrackingOpenCVPythonAlgorithm Design
Madhav
PROFILE
Madhav
Midhun Valiyaparambil developed and enhanced perception and simulation modules for the purdue-arc/sphero-swarm repository, focusing on object detection, tracking, and swarm robotics reliability. He implemented OpenCV and YOLO-based scripts in Python to detect, track, and visualize circular objects, enabling automated analysis of Sphero robot interactions. His work included collision detection visualization, simulation bonding improvements, and robust field initialization using advanced data structures like Union-Find. Midhun also addressed driver synchronization issues to ensure accurate swarm navigation. The depth of his contributions is reflected in the integration of computer vision, algorithm design, and backend development, supporting maintainable and scalable robotics experiments.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
5
Lines of code
361
Activity Months4
Your Network
116 people
Work History
March 2025
1 Commits
Mar 1, 2025March 2025: Focus on driver stability and testing readiness for the Sphero swarm. Implemented a critical bug fix to synchronize the Sphero's actual position with the current target before applying updates, ensuring the driver's state reflects intended movement during target updates. This change lays the foundation for reliable swarm navigation and reduces drift during preliminary testing.
1 Commits
Mar 1, 2025March 2025: Focus on driver stability and testing readiness for the Sphero swarm. Implemented a critical bug fix to synchronize the Sphero's actual position with the current target before applying updates, ensuring the driver's state reflects intended movement during target updates. This change lays the foundation for reliable swarm navigation and reduces drift during preliminary testing.
March 2025
February 2025
6 Commits • 3 Features
Feb 1, 2025February 2025: Delivered core Sphero-swarm enhancements across simulation reliability, field initialization, and connectivity performance, reinforcing fidelity, maintainability, and scalability.
February 2025
6 Commits • 3 Features
Feb 1, 2025February 2025: Delivered core Sphero-swarm enhancements across simulation reliability, field initialization, and connectivity performance, reinforcing fidelity, maintainability, and scalability.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for purdue-arc/sphero-swarm focused on expanding the perception pipeline and validating new data. Key feature delivered: collision detection visualization on a new test video. The perception processing script was enhanced to detect and visualize collisions between detected circular objects using radii and positions. The feature was demonstrated and validated with an accompanying demo video. Commit traceability is preserved via two commits: b34b10a0c48ffd07b45734196259d5ae35152e4e (Perception code + new video) and 106d461415a9e72488d04dcc527014b0f01d45ab (demo video).
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for purdue-arc/sphero-swarm focused on expanding the perception pipeline and validating new data. Key feature delivered: collision detection visualization on a new test video. The perception processing script was enhanced to detect and visualize collisions between detected circular objects using radii and positions. The feature was demonstrated and validated with an accompanying demo video. Commit traceability is preserved via two commits: b34b10a0c48ffd07b45734196259d5ae35152e4e (Perception code + new video) and 106d461415a9e72488d04dcc527014b0f01d45ab (demo video).
January 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered an OpenCV-based object detection and tracking script for circular objects in the purdue-arc/sphero-swarm repository. The script processes video inputs to detect circular objects (e.g., Sphero robots) by contour analysis, applies noise filtering, supports multi-object detection, and visualizes movement with bounding circles and labels. The work leverages previously uploaded perceptions from last semester and has been integrated into the repository for repeatable experiments and future enhancement.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered an OpenCV-based object detection and tracking script for circular objects in the purdue-arc/sphero-swarm repository. The script processes video inputs to detect circular objects (e.g., Sphero robots) by contour analysis, applies noise filtering, supports multi-object detection, and visualizes movement with bounding circles and labels. The work leverages previously uploaded perceptions from last semester and has been integrated into the repository for repeatable experiments and future enhancement.
Activity
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Quality Metrics
Correctness85.0%
Maintainability84.0%
Architecture76.0%
Performance73.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm DesignAlgorithm DevelopmentAlgorithm ImplementationAlgorithmsBackend DevelopmentComputer VisionData StructuresDriver DevelopmentEmbedded SystemsObject DetectionObject TrackingObject-Oriented ProgrammingOpenCVPythonRobotics
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