purdue-arc/sphero-swarm
Oct 2024 – Mar 2025
5 Months active
Languages Used
PythonShell
Technical Skills
API IntegrationMultiprocessingNetworkingRobotics ControlConcurrencyKeyboard Input Handling
yim54
PROFILE
Yim54
Yiming worked on the purdue-arc/sphero-swarm repository, developing and refining a Python-based robotics control system for Sphero robots. Over five months, Yiming consolidated server-client logic into a unified control script, introduced batch instruction execution with multiprocessing for scalable command handling, and implemented keyboard-driven six-direction movement. The work included integrating YOLO-based object tracking for initial computer vision capabilities and enhancing swarm robustness with backward movement, termination semantics, and improved synchronization. Yiming applied skills in Python, concurrency, and networking, while also maintaining code quality through test organization and refactoring. The engineering demonstrated thoughtful architecture and iterative improvements for real-world deployment.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
7
Lines of code
768
Activity Months5
Your Network
116 people
Work History
March 2025
1 Commits
Mar 1, 2025March 2025: Repository hygiene and test organization cleanup in purdue-arc/sphero-swarm. Focused on aligning test file naming conventions by renaming controls/controls.py to controls/controls_test.py, preventing test discovery issues and improving maintainability; no functional changes introduced. This change primes the repo for clearer test coverage and faster CI feedback across the project.
1 Commits
Mar 1, 2025March 2025: Repository hygiene and test organization cleanup in purdue-arc/sphero-swarm. Focused on aligning test file naming conventions by renaming controls/controls.py to controls/controls_test.py, preventing test discovery issues and improving maintainability; no functional changes introduced. This change primes the repo for clearer test coverage and faster CI feedback across the project.
March 2025
February 2025
6 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for Purdue Arc sphero-swarm repository. Focused on delivering backward movement capability for Sphero robots and strengthening swarm control with termination semantics, significantly improving robustness, reconnection, and multi-robot coordination. Key outcomes include: enabling backward motion via negative speed values with integrated drivers/connection updates; adding manual exit and end-instruction flows for graceful disconnect and batch completion signaling; improving discovery/synchronization across swarm; hardening edge-case handling for backward movement; and upgrading client-server messaging to support completion notices and a wait workflow (experimental). These changes collectively improve reliability, deployment readiness, and developer velocity for real-world swarm operations.
February 2025
6 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for Purdue Arc sphero-swarm repository. Focused on delivering backward movement capability for Sphero robots and strengthening swarm control with termination semantics, significantly improving robustness, reconnection, and multi-robot coordination. Key outcomes include: enabling backward motion via negative speed values with integrated drivers/connection updates; adding manual exit and end-instruction flows for graceful disconnect and batch completion signaling; improving discovery/synchronization across swarm; hardening edge-case handling for backward movement; and upgrading client-server messaging to support completion notices and a wait workflow (experimental). These changes collectively improve reliability, deployment readiness, and developer velocity for real-world swarm operations.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary: Delivered two key features for purdue-arc/sphero-swarm with direct keyboard control and an initial computer-vision tracking experiment, establishing a foundation for faster iteration and improved robotics control.
2 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary: Delivered two key features for purdue-arc/sphero-swarm with direct keyboard control and an initial computer-vision tracking experiment, establishing a foundation for faster iteration and improved robotics control.
January 2025
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 focused on delivering core Sphero swarm control capabilities and strengthening runtime stability. Delivered: 1) Keyboard-based six-direction movement for Sphero robots (W/A/S/D, Q/E) with P-stop and initial reset for aim/speed; 2) Thread lifecycle and server-port improvements to boost control robustness, including daemonizing threads, a safe stop workflow, and simplifying initialization by removing the calibrate_compass() call at startup. These changes increase control reliability, reduce startup/shutdown risk, and pave the way for safer remote operation.
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 focused on delivering core Sphero swarm control capabilities and strengthening runtime stability. Delivered: 1) Keyboard-based six-direction movement for Sphero robots (W/A/S/D, Q/E) with P-stop and initial reset for aim/speed; 2) Thread lifecycle and server-port improvements to boost control robustness, including daemonizing threads, a safe stop workflow, and simplifying initialization by removing the calibrate_compass() call at startup. These changes increase control reliability, reduce startup/shutdown risk, and pave the way for safer remote operation.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 performance highlights for purdue-arc/sphero-swarm: Implemented Batch Instruction Execution, enabling clients to send multiple instructions in a single request. The server was updated to process a list of instructions concurrently using multiprocessing.Queue, enabling better throughput and scalability for batched workloads. The client was updated to accept multiple instructions per call, and minor fixes were applied for instruction handling and port configuration to stabilize the batching flow. These changes improve responsiveness for batch workloads and demonstrate strong proficiency in Python multiprocessing, API design, and bug fixing.
1 Commits • 1 Features
Oct 1, 2024October 2024 performance highlights for purdue-arc/sphero-swarm: Implemented Batch Instruction Execution, enabling clients to send multiple instructions in a single request. The server was updated to process a list of instructions concurrently using multiprocessing.Queue, enabling better throughput and scalability for batched workloads. The client was updated to accept multiple instructions per call, and minor fixes were applied for instruction handling and port configuration to stabilize the batching flow. These changes improve responsiveness for batch workloads and demonstrate strong proficiency in Python multiprocessing, API design, and bug fixing.
October 2024
Activity
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Quality Metrics
Correctness81.0%
Maintainability81.6%
Architecture75.0%
Performance75.0%
AI Usage21.6%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
API IntegrationComputer VisionConcurrencyEmbedded SystemsKeyboard Input HandlingMachine LearningMultiprocessingNetworkingObject TrackingPythonPython ScriptingRefactoringRoboticsRobotics Control
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