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Zhide Yang

PROFILE

Zhide Yang

Zhide contributed to the gwhs/2025-Reefscape robotics repository by developing and refining autonomous routines for competitive robot control. Over four months, Zhide implemented Java-based autonomous path planning and command-based programming to optimize scoring strategies, integrating Time-of-Flight sensors for more reliable coral detection and enhancing end effector control through voltage-based scoring logic. The work included tuning PID control parameters for improved drive responsiveness and updating embedded system dependencies to maintain security and stability. By addressing sensor validation and threshold tuning, Zhide improved the robustness of automated reef-scanning tasks, demonstrating depth in robotics, sensor integration, and control systems engineering.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

7Total
Bugs
1
Commits
7
Features
6
Lines of code
411
Activity Months4

Work History

April 2025

1 Commits

Apr 1, 2025

April 2025: Focused on robustness of end effector sensor data in Reefscape (gwhs/2025-Reefscape). Implemented End Effector Sensor Validation Fix and Threshold Tuning by disabling the sensor status validity check for coralLoaded and increasing the distance threshold from 15 to 30, substantially improving data processing reliability for automated reef-scanning and manipulation.

March 2025

4 Commits • 4 Features

Mar 1, 2025

March 2025 — Delivered sensor modernization and control improvements for Reefscape, focusing on autonomous coral detection, system robustness, and dependency hygiene to accelerate reliable deployments and business value.

February 2025

1 Commits • 1 Features

Feb 1, 2025

Month: 2025-02 — Reefscape project gwhs/2025-Reefscape. Key features delivered: Autonomous routine optimization for the 'c5' configuration, refactoring the autonomous routine to optimize path planning and execution for a five-cycle strategy. Introduced new commands for scoring and coral handling, and updated existing sequences to incorporate these actions. Result: improved efficiency and reliability of autonomous operations by refining path following and inter-command transitions. Commits: 658c84615647bc4e4a1bd4052e06a98d8e28d27d (#107).

January 2025

1 Commits • 1 Features

Jan 1, 2025

January 2025 delivered a focused enhancement for Reefscape: Autonomous scoring preloading and scoring readiness. Implemented the SC_preloadScore autonomous routine that preloads and evaluates scoring during autonomous mode, with targeted path configuration refinements (nominal voltage and folder assignments) and a new Java class defining the autonomous path to refine scoring accuracy. All changes are tracked under commit 6042997c693ebfaa32ff1bfd56c282b45b397673 (Auton c1 (#32)). Overall impact: faster autonomous prep, more reliable scoring, and a stronger foundation for automated control in matches.

Activity

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Quality Metrics

Correctness74.2%
Maintainability77.2%
Architecture74.2%
Performance74.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

JSONJava

Technical Skills

Autonomous NavigationAutonomous Path PlanningAutonomous ProgrammingCommand-Based ProgrammingControl SystemsEmbedded SystemsJavaJava DevelopmentPID ControlPath PlanningRobot ControlRobot ProgrammingRoboticsSensor IntegrationSubsystem Integration

Repositories Contributed To

1 repo

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

gwhs/2025-Reefscape

Jan 2025 Apr 2025
4 Months active

Languages Used

JSONJava

Technical Skills

Autonomous Path PlanningJava DevelopmentRobot ProgrammingAutonomous NavigationCommand-Based ProgrammingPath Planning

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