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LuminousLlama

PROFILE

Luminousllama

Keyush Attarde contributed to the Triton-Robotics/TR-mbed repository by developing and refining autonomous control features for robotics systems, focusing on motor control tuning, computer vision integration, and system reliability. He applied C++ and embedded systems expertise to tune PID controllers for both Sentry and Infantry modules, improving aiming precision and reducing jitter. His work included integrating Jetson-based communication protocols, enhancing code organization, and enabling dynamic control logic for features like Beyblade and CV-triggered shooting. By addressing calibration drift and system crashes, Keyush delivered stable, reproducible control behaviors, demonstrating depth in control systems engineering and a methodical approach to embedded robotics development.

Overall Statistics

Feature vs Bugs

73%Features

Repository Contributions

24Total
Bugs
3
Commits
24
Features
8
Lines of code
1,592
Activity Months2

Work History

June 2025

22 Commits • 7 Features

Jun 1, 2025

June 2025 performance summary for Triton-Robotics/TR-mbed: Delivered key autonomous capabilities with stability and reliability improvements, aligning with business goals of safer, more capable autonomous operation and faster iteration cycles. Highlights include Beyblade integration improvements; CV shooting control; Jetson integration and stability; infantry stability and control refinements; and system reliability enhancements including odometry re-enabling and Sentry tuning.

April 2025

2 Commits • 1 Features

Apr 1, 2025

April 2025 monthly summary: Delivered targeted motor control tuning for the Sentry 2025 configuration in Triton-Robotics/TR-mbed. Key work focused on tuning pitch motor bounds, PID controller gains, and level ticks to improve aiming precision and responsiveness. PID constants were corrected to fixed values across commits, leading to more stable and repeatable performance under varying conditions. The work enhances field reliability, reduces calibration drift, and provides clear, reproducible tuning parameters for future iterations.

Activity

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Quality Metrics

Correctness80.4%
Maintainability81.6%
Architecture72.6%
Performance73.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

CC++

Technical Skills

C++Code OrganizationCommunication ProtocolsComputer Vision IntegrationControl SystemsEmbedded SystemsPID ControlPID TuningRoboticsSerial Communication

Repositories Contributed To

1 repo

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

Triton-Robotics/TR-mbed

Apr 2025 Jun 2025
2 Months active

Languages Used

C++C

Technical Skills

C++Control SystemsEmbedded SystemsRoboticsCode OrganizationCommunication Protocols

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