PurdueLunabotics/purdue_lunabotics
May 2025 – May 2025
1 Month active
Languages Used
C++PythonXMLYAML
Technical Skills
Algorithm OptimizationBehavioral ProgrammingComputer VisionConfiguration ManagementControl SystemsEmbedded Systems
Lunabotics Computer
PROFILE
Lunabotics Computer
During May 2025, Lunabotics enhanced the PurdueLunabotics/purdue_lunabotics repository by improving autonomous navigation and reliability for the Lunabotics rover. They refactored the Exdep navigation cycle and integrated Apriltag-based pose estimation, optimizing D*Star path planning to increase accuracy in dust-rich environments. Using C++ and Python within the ROS framework, Lunabotics enabled robust stall detection for excavation and driving motors, reducing manual intervention and improving operational safety. Additionally, they addressed a critical bug in the effort factory reset logic, refining state management to handle stalled conditions. The work demonstrated depth in robotics navigation, control systems, and algorithm optimization.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
2
Lines of code
219
Activity Months1
Your Network
16 peopleSame Organization
@lunabotics.com1
Work History
May 2025
8 Commits • 2 Features
May 1, 2025May 2025 Summary for PurdueLunabotics (2025-05): Focused on improving autonomy reliability and navigation accuracy for the Purdue Lunabotics platform. Delivered major enhancements to Exdep navigation and Apriltag integration, enabling more robust autonomous cycles and precise pose estimation; Enabled stall detection across the rover's operation, boosting resilience in dust-rich tasks; Fixed critical reliability bug in the effort factory reset flow to correctly handle stalled states. Impact includes improved cycle efficiency, reduced manual interventions, and safer, more predictable operation in KSC arena conditions. Technologies demonstrated include ROS node orchestration, Apriltag perception, D*Star path planning, and robust system state management. Key commits included: f03bfe2332fc96088c63c3c10d455591dcac9d1b (fixing exdep cycle), fe883b4a4e360b605e3517f6724dc22d92afdbd4 (changes for comp), 7f170897a95538a1b824a4c58658d25e52218b3d (add break), 2c4232a1a90cc622adfeb5e0efb0f163666dd184 (slightly lower), 2ab9861c562e41ddd1112154b94d07f6a616f936 (changed for KSC arena); d19ab7b0f263bac9a943a282bfe95fa342ad02e3 (add stall detector node startup to robot.launch), fec2ca9c261b33dd40425e8f5b0ec6ba013b4afc (stall detection implemented, further driving for more dust during exdep cycle), 9fdd4a184b547daf7d33eaf9796334b7cd882185 (fixed potential bug in effort factory). A targeted set of changes was released in May to elevate autonomous throughput while reducing operator intervention and increasing safety in dust-rich environments.
8 Commits • 2 Features
May 1, 2025May 2025 Summary for PurdueLunabotics (2025-05): Focused on improving autonomy reliability and navigation accuracy for the Purdue Lunabotics platform. Delivered major enhancements to Exdep navigation and Apriltag integration, enabling more robust autonomous cycles and precise pose estimation; Enabled stall detection across the rover's operation, boosting resilience in dust-rich tasks; Fixed critical reliability bug in the effort factory reset flow to correctly handle stalled states. Impact includes improved cycle efficiency, reduced manual interventions, and safer, more predictable operation in KSC arena conditions. Technologies demonstrated include ROS node orchestration, Apriltag perception, D*Star path planning, and robust system state management. Key commits included: f03bfe2332fc96088c63c3c10d455591dcac9d1b (fixing exdep cycle), fe883b4a4e360b605e3517f6724dc22d92afdbd4 (changes for comp), 7f170897a95538a1b824a4c58658d25e52218b3d (add break), 2c4232a1a90cc622adfeb5e0efb0f163666dd184 (slightly lower), 2ab9861c562e41ddd1112154b94d07f6a616f936 (changed for KSC arena); d19ab7b0f263bac9a943a282bfe95fa342ad02e3 (add stall detector node startup to robot.launch), fec2ca9c261b33dd40425e8f5b0ec6ba013b4afc (stall detection implemented, further driving for more dust during exdep cycle), 9fdd4a184b547daf7d33eaf9796334b7cd882185 (fixed potential bug in effort factory). A targeted set of changes was released in May to elevate autonomous throughput while reducing operator intervention and increasing safety in dust-rich environments.
May 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability82.6%
Architecture72.6%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PythonXMLYAML
Technical Skills
Algorithm OptimizationBehavioral ProgrammingComputer VisionConfiguration ManagementControl SystemsEmbedded SystemsNavigationROSRoboticsRobotics Navigation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline