Triton-Robotics/TR-mbed
Apr 2025 – Oct 2025
3 Months active
Languages Used
C++JLink ScriptMakefileMarkdown
Technical Skills
C++Control SystemsEmbedded SystemsOdometryPID ControlRobotics
Arihant Jain
PROFILE
Arihant Jain
Arihant Jain contributed to the Triton-Robotics/TR-mbed repository, focusing on advanced robotics features over three months. He developed and refined autonomous navigation, motion control, and computer vision integration, using C++ and CMake to implement odometry enhancements, cascaded PID control, and waypoint-based navigation. His work included integrating Jetson modules for robust serial communication, optimizing heat management for sustained firing, and improving deployment with cross-platform Makefiles and JLink scripts. Arihant also expanded documentation and debugging support, adding guides for Ozone debugger usage. The depth of his engineering addressed both control accuracy and developer productivity, resulting in more reliable and maintainable robotics systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
9
Lines of code
1,209
Activity Months3
Your Network
11 people
Work History
October 2025
7 Commits • 4 Features
Oct 1, 2025October 2025 – Triton-Robotics/TR-mbed: Implemented precision yaw control improvements for Infantry, introduced cascaded PID for DJIMotor with chassis RPM, enhanced deployment tooling with JLink scripts and cross-platform Makefiles, and expanded debugging/docs with Ozone debugger guide. These initiatives improve control accuracy, robustness against external disturbances, streamline deployment, and shorten troubleshooting time, enabling safer autonomous operations and faster iteration.
7 Commits • 4 Features
Oct 1, 2025October 2025 – Triton-Robotics/TR-mbed: Implemented precision yaw control improvements for Infantry, introduced cascaded PID for DJIMotor with chassis RPM, enhanced deployment tooling with JLink scripts and cross-platform Makefiles, and expanded debugging/docs with Ozone debugger guide. These initiatives improve control accuracy, robustness against external disturbances, streamline deployment, and shorten troubleshooting time, enabling safer autonomous operations and faster iteration.
October 2025
June 2025
7 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for Triton-Robotics/TR-mbed. Delivered a cohesive set of features and stability improvements across jetson integration, computer vision communication, autonomous navigation, and thermal management. Key outcomes include robust Jetson data handling, streamlined CV data paths, waypoint-based navigation with refined odometry, and extended sustained firing through heat management optimization.
June 2025
7 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for Triton-Robotics/TR-mbed. Delivered a cohesive set of features and stability improvements across jetson integration, computer vision communication, autonomous navigation, and thermal management. Key outcomes include robust Jetson data handling, streamlined CV data paths, waypoint-based navigation with refined odometry, and extended sustained firing through heat management optimization.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Triton-Robotics/TR-mbed: Delivered key motion control improvements enabling precise autonomous operation. Major deliverables include odometry enhancements, PID tuning across multiple motors, and the integration of automated autonomous sequences with a testbench and beyblading mode. No standalone bug fixes were recorded; bug resolution efforts were encompassed in the feature work to improve stability and movement precision. The work provides a solid foundation for reliable autonomous movement and repeatable test runs, enabling faster iteration and higher quality motion control.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for Triton-Robotics/TR-mbed: Delivered key motion control improvements enabling precise autonomous operation. Major deliverables include odometry enhancements, PID tuning across multiple motors, and the integration of automated autonomous sequences with a testbench and beyblading mode. No standalone bug fixes were recorded; bug resolution efforts were encompassed in the feature work to improve stability and movement precision. The work provides a solid foundation for reliable autonomous movement and repeatable test runs, enabling faster iteration and higher quality motion control.
April 2025
Activity
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Quality Metrics
Correctness81.4%
Maintainability84.0%
Architecture75.4%
Performance75.4%
AI Usage21.4%
Skills & Technologies
Programming Languages
C++JLink ScriptMakefileMarkdown
Technical Skills
Autonomous NavigationBuild SystemsC++CMakeComputer Vision IntegrationControl SystemsCross-Platform DevelopmentDebuggingDeploymentDocumentationEmbedded SystemsFirmware DevelopmentMotor ControlOdometryPID Control
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