PurdueLunabotics/purdue_lunabotics
Feb 2025 – Feb 2026
7 Months active
Languages Used
PythonXMLBashmsgC++CMakeYAML
Technical Skills
Control SystemsNavigationPythonROSRoboticsAutonomous Navigation
Ankur Raghavan
PROFILE
Ankur Raghavan
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
18Total
Bugs
2
Commits
18
Features
9
Lines of code
68,298
Activity Months7
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026: Implemented ray tracing-based navigation and obstacle detection enhancements for PurdueLunabotics. This work strengthens obstacle detection, odometry robustness, and planning reliability by integrating ray tracing and denoising layers into the costmap, updating launch files for improved odometry handling and friction parameterization, and tuning the planner to leverage the enhanced sensing.
2 Commits • 1 Features
Feb 1, 2026February 2026: Implemented ray tracing-based navigation and obstacle detection enhancements for PurdueLunabotics. This work strengthens obstacle detection, odometry robustness, and planning reliability by integrating ray tracing and denoising layers into the costmap, updating launch files for improved odometry handling and friction parameterization, and tuning the planner to leverage the enhanced sensing.
February 2026
December 2025
5 Commits • 3 Features
Dec 1, 2025December 2025 performance highlights for PurdueLunabotics/purdue_lunabotics. Focused on delivering a scalable simulation workflow, tighter integration with the drivetrain controller, and an enhanced camera data pipeline within the ROS-based simulation. The work emphasizes business value through resource efficiency, higher fidelity simulations, and clearer debugging visuals, enabling faster iteration and more reliable testing in a multi-robot context.
December 2025
5 Commits • 3 Features
Dec 1, 2025December 2025 performance highlights for PurdueLunabotics/purdue_lunabotics. Focused on delivering a scalable simulation workflow, tighter integration with the drivetrain controller, and an enhanced camera data pipeline within the ROS-based simulation. The work emphasizes business value through resource efficiency, higher fidelity simulations, and clearer debugging visuals, enabling faster iteration and more reliable testing in a multi-robot context.
November 2025
4 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for PurdueLunabotics/purdue_lunabotics. Delivered multi-robot simulation capabilities alongside a scalable navigation architecture, establishing a strong foundation for parallel experimentation, faster iteration, and maintainable code growth.
4 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for PurdueLunabotics/purdue_lunabotics. Delivered multi-robot simulation capabilities alongside a scalable navigation architecture, establishing a strong foundation for parallel experimentation, faster iteration, and maintainable code growth.
November 2025
October 2025
1 Commits
Oct 1, 2025October 2025 monthly summary focusing on stabilizing robotics messaging and delivering a targeted bug fix in PurdueLunabotics/purdue_lunabotics. The primary effort was to correct the RobotEffort message header type to use the appropriate std_msgs Header, ensuring proper message formatting within the robotics communication framework. The change provides immediate reliability gains for inter-component communication and improves maintainability with clear commit traceability.
October 2025
1 Commits
Oct 1, 2025October 2025 monthly summary focusing on stabilizing robotics messaging and delivering a targeted bug fix in PurdueLunabotics/purdue_lunabotics. The primary effort was to correct the RobotEffort message header type to use the appropriate std_msgs Header, ensuring proper message formatting within the robotics communication framework. The change provides immediate reliability gains for inter-component communication and improves maintainability with clear commit traceability.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary focusing on delivering performance-oriented simulation improvements for PurdueLunabotics. The primary deliverable was enabling a headless (non-GUI) simulation mode to reduce resource usage and accelerate simulation runs. This aligns with the initiative to improve development velocity and cost efficiency for CI/local testing. The work was scoped to PurdueLunabotics/purdue_lunabotics and implemented via a targeted change to run simulations with gui:=false, as reflected in the commit below.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary focusing on delivering performance-oriented simulation improvements for PurdueLunabotics. The primary deliverable was enabling a headless (non-GUI) simulation mode to reduce resource usage and accelerate simulation runs. This aligns with the initiative to improve development velocity and cost efficiency for CI/local testing. The work was scoped to PurdueLunabotics/purdue_lunabotics and implemented via a targeted change to run simulations with gui:=false, as reflected in the commit below.
September 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for PurdueLunabotics/purdue_lunabotics. Focused on delivering robust autonomous navigation refinements to improve reliability in sim and real deployments, with emphasis on AprilTag-based localization, homing, zone finding, and pose handling. The work emphasized sim-to-real parity, updated approach distance, and improved pose transforms (camera TF, Pose/PoseStamped) for berm goal and tag IDs. This reduces manual tuning and improves deployment readiness for the UCF bottom zone. No critical bugs reported this month; major improvements center on stability, accuracy, and maintainability.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for PurdueLunabotics/purdue_lunabotics. Focused on delivering robust autonomous navigation refinements to improve reliability in sim and real deployments, with emphasis on AprilTag-based localization, homing, zone finding, and pose handling. The work emphasized sim-to-real parity, updated approach distance, and improved pose transforms (camera TF, Pose/PoseStamped) for berm goal and tag IDs. This reduces manual tuning and improves deployment readiness for the UCF bottom zone. No critical bugs reported this month; major improvements center on stability, accuracy, and maintainability.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for PurdueLunabotics/purdue_lunabotics: Key features delivered include a flexible front camera activation controlled via a new 'front' boolean argument in the robot launch file, which is passed through to the cameras launch to enable conditional activation of front-facing configurations. This enables on-demand camera usage and resource optimization. Major bugs fixed include navigation reliability improvements: refactoring point-to-point navigation state management and error calculations to improve accuracy in reaching target linear and angular positions, along with streamlining target pose updates along a path; plus API cleanup such as renaming the traversal enabled topic for clarity and removing a debug print. These changes were implemented in commits d7f18597bc5818d69c9794173e3e66d92da9dabc; 654bde5f57aaa30fdfc5aa8248c14dd132ba6055; and 731ae2db25dc52dd4491330770007fe4143289f6. Overall impact: enhanced mission reliability and operational flexibility, improved resource management for cameras, and cleaner, more maintainable navigation code. Technologies/skills demonstrated: ROS launch configuration, camera integration, navigation scripting, state management, API cleanup, and version control.
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for PurdueLunabotics/purdue_lunabotics: Key features delivered include a flexible front camera activation controlled via a new 'front' boolean argument in the robot launch file, which is passed through to the cameras launch to enable conditional activation of front-facing configurations. This enables on-demand camera usage and resource optimization. Major bugs fixed include navigation reliability improvements: refactoring point-to-point navigation state management and error calculations to improve accuracy in reaching target linear and angular positions, along with streamlining target pose updates along a path; plus API cleanup such as renaming the traversal enabled topic for clarity and removing a debug print. These changes were implemented in commits d7f18597bc5818d69c9794173e3e66d92da9dabc; 654bde5f57aaa30fdfc5aa8248c14dd132ba6055; and 731ae2db25dc52dd4491330770007fe4143289f6. Overall impact: enhanced mission reliability and operational flexibility, improved resource management for cameras, and cleaner, more maintainable navigation code. Technologies/skills demonstrated: ROS launch configuration, camera integration, navigation scripting, state management, API cleanup, and version control.
February 2025
Activity
Loading activity data...
Quality Metrics
Correctness86.6%
Maintainability83.4%
Architecture83.4%
Performance81.2%
AI Usage23.4%
Skills & Technologies
Programming Languages
BashC++CMakePythonXMLYAMLmsg
Technical Skills
Autonomous NavigationC++CMakeComputer VisionControl SystemsNavigationPythonPython programmingROSRoboticsSimulationbash scriptingconfiguration managementlaunch file configurationmessage formatting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline