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Alan An

PROFILE

Alan An

Developed an autonomous alignment and placement feature for the FRC900/900RobotCode repository, consolidating alignment and placing behaviors into an action-client based control loop. The implementation leveraged Python, ROS, and configuration management to enable robust error handling and preemption during the placing step, reducing manual intervention and improving reliability. Updates to launch files and YAML configuration supported seamless autonomous operation for the 2025 season. The work included enhancements to intaking flows and end-to-end validation of the autonomous workflow, ensuring consistent performance from alignment through placing and intaking. This engineering effort accelerated field readiness and improved operational consistency for robotics deployments.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
1
Lines of code
191
Activity Months1

Work History

February 2025

2 Commits • 1 Features

Feb 1, 2025

February 2025 monthly summary: Key feature delivered is autonomous alignment and placement of game pieces in the FRC900/900RobotCode project. This work consolidates alignment and placing into an action-client based control loop, with robust error handling and preemption for the placing step. It also introduces enhancements to intaking flows and updates to configuration and launch to enable autonomous operation for the 2025 season. Commits documenting the work include 5faf040b260143fcf2af4549528d5839009c2321 and af65a18403a18cb10555baec5388fa24deefb3a2. Major bugs fixed include stabilizing the auto-alignment/placing pipeline, improving error handling to prevent misplacements, and ensuring end-to-end reliability across alignment, placing, and intaking. End-to-end validation of the autonomous workflow (auto align -> align and place -> placing -> intaking) has been completed with successful test results. Overall impact: enables autonomous operation in the 2025 season, improves consistency and reliability, reduces manual intervention, and accelerates field-ready readiness. Technologies and skills demonstrated include action-client based control, end-to-end robotics pipeline integration, robust error handling and preemption, config/launch automation, and thorough testing and validation.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonXMLYAML

Technical Skills

Action ClientsActionlibConfiguration ManagementLaunch FilesROSRoboticsServer Implementation

Repositories Contributed To

1 repo

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

FRC900/900RobotCode

Feb 2025 Feb 2025
1 Month active

Languages Used

PythonXMLYAML

Technical Skills

Action ClientsActionlibConfiguration ManagementLaunch FilesROSRobotics