Shubham-dds/P2M
🚀 Accelerate autonomous flight with P2M, a system offering efficient LiDAR sensing and robust obstacle avoidance for dynamic environments.
What's novel
🚀 Accelerate autonomous flight with P2M, a system offering efficient LiDAR sensing and robust obstacle avoidance for dynamic environments.
Code Analysis
0 files read · 5 roundsA robotics navigation framework combining LiDAR perception with reinforcement learning for UAV obstacle avoidance, but the core implementation code is inaccessible for review.
Strengths
Well-organized directory structure separating C++ infrastructure from Python ML pipeline; includes comprehensive ROS message definitions and Isaac Sim integration.
Weaknesses
Cannot evaluate actual code quality due to file access restrictions; README claims advanced features that cannot be verified without reading implementation; no visible test files or error handling patterns.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
9
Contributors
3
Files
163
Active weeks
3
Repository
Language
Python
Stars
2
Forks
0
License
MIT