PurdueLunabotics/purdue_lunabotics
Oct 2025 – Jan 2026
3 Months active
Languages Used
CMakePythonXMLYAMLC++
Technical Skills
CMake build systemPython scriptingROSconfiguration managementroboticsC++
Pranav Chitiveli
PROFILE
Pranav Chitiveli
Over three months, Xlr9 Chitiveli developed core navigation and control features for the PurdueLunabotics/purdue_lunabotics repository, focusing on robust localization and ROS 2 integration. He implemented a map-based localization node and aligned the navigation stack to the map frame, improving spatial awareness and reducing drift in autonomous simulations. Chitiveli migrated navigation messaging from Odometry to PoseStamped, enhancing position tracking accuracy and laying the foundation for advanced mapping. He also integrated ros2_controllers dependencies using CMake and XML, enabling scalable controller-based robot movement. His work demonstrated depth in ROS, C++, and configuration management, resulting in maintainable, simulation-ready robotics infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
182
Activity Months3
Your Network
15 peopleShared Repositories
15
Icequeen3333Member
Ankur RaghavanMember
DharmikMember
Brayden ZeeMember
GKandulaMember
Isaac-F24Member
Purdue Lunabotics TeamMember
Lunabotics ComputerMember
Lunabotics ComputerMember
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for PurdueLunabotics/purdue_lunabotics: Focused on enabling ROS 2 controller-based robot movement through dependency integration. Key feature delivered: ros2_controllers setup in CMakeLists.txt and package.xml to support standard controller interfaces. This work was completed via two commits that finalized the dependency wiring. No major bugs fixed this month. Impact: establishes a scalable, ROS-aligned control pathway, reduces future integration effort, and improves maintainability and collaboration with ROS tooling. Technologies/skills demonstrated: ROS 2 ecosystem, CMake, package.xml, dependency management, repository hygiene, and commit discipline.
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for PurdueLunabotics/purdue_lunabotics: Focused on enabling ROS 2 controller-based robot movement through dependency integration. Key feature delivered: ros2_controllers setup in CMakeLists.txt and package.xml to support standard controller interfaces. This work was completed via two commits that finalized the dependency wiring. No major bugs fixed this month. Impact: establishes a scalable, ROS-aligned control pathway, reduces future integration effort, and improves maintainability and collaboration with ROS tooling. Technologies/skills demonstrated: ROS 2 ecosystem, CMake, package.xml, dependency management, repository hygiene, and commit discipline.
January 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11: Key feature delivered: PoseStamped-based navigation messaging in PurdueLunabotics/purdue_lunabotics, replacing Odometry to improve position tracking accuracy and navigation logic. Major bugs fixed: none documented for this period. Overall impact: enhanced autonomous navigation reliability and precision, providing a stable foundation for loop-closure, path planning, and mapping enhancements. Technologies/skills demonstrated: ROS navigation stack, PoseStamped integration, migration from Odometry, version control discipline, incremental feature delivery, and cross-team collaboration.
November 2025
1 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11: Key feature delivered: PoseStamped-based navigation messaging in PurdueLunabotics/purdue_lunabotics, replacing Odometry to improve position tracking accuracy and navigation logic. Major bugs fixed: none documented for this period. Overall impact: enhanced autonomous navigation reliability and precision, providing a stable foundation for loop-closure, path planning, and mapping enhancements. Technologies/skills demonstrated: ROS navigation stack, PoseStamped integration, migration from Odometry, version control discipline, incremental feature delivery, and cross-team collaboration.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly wrap-up: Delivered Map-based Localization and Navigation Frame Alignment for PurdueLunabotics. Implemented a new localization node to transform odometry into a map-based pose and updated the navigation stack to base the costmap and related transforms on the map frame, significantly improving spatial awareness and pose accuracy across simulations. This work reduces drift and frame misalignment, enabling more reliable path planning and safer autonomous operation. Major bugs fixed: Addressed initial simulation-specific inconsistencies by aligning map-frame references in the costmap and navigation stack; initiated rollout plan to propagate updates across all simulation users (commit notes indicate changes are ready for broader adoption). Overall impact and accomplishments: Establishes a robust map-aligned localization backbone, enabling consistent cross-simulation operation, smoother integration with higher-level planning, and a tangible uplift in navigation reliability. Lays groundwork for wider adoption across the rover fleet and future multi-robot coordination. Technologies/skills demonstrated: ROS-based localization and navigation, transform frames (map/odom), map-based pose estimation, costmap integration, and cross-repo rollout planning.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly wrap-up: Delivered Map-based Localization and Navigation Frame Alignment for PurdueLunabotics. Implemented a new localization node to transform odometry into a map-based pose and updated the navigation stack to base the costmap and related transforms on the map frame, significantly improving spatial awareness and pose accuracy across simulations. This work reduces drift and frame misalignment, enabling more reliable path planning and safer autonomous operation. Major bugs fixed: Addressed initial simulation-specific inconsistencies by aligning map-frame references in the costmap and navigation stack; initiated rollout plan to propagate updates across all simulation users (commit notes indicate changes are ready for broader adoption). Overall impact and accomplishments: Establishes a robust map-aligned localization backbone, enabling consistent cross-simulation operation, smoother integration with higher-level planning, and a tangible uplift in navigation reliability. Lays groundwork for wider adoption across the rover fleet and future multi-robot coordination. Technologies/skills demonstrated: ROS-based localization and navigation, transform frames (map/odom), map-based pose estimation, costmap integration, and cross-repo rollout planning.
October 2025
Activity
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Quality Metrics
Correctness92.0%
Maintainability88.0%
Architecture88.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakePythonXMLYAML
Technical Skills
C++CMakeCMake build systemPythonPython scriptingROSROS 2configuration managementdependency managementnavigationrobotics
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