Adiao1973 / LibRobotBagFix

What is LibRobotBagFix?

LibRobotBagFix is a C++ SDK and command-line tool for inspecting, repairing, and reading ROS 2 rosbag2 black-box data without requiring a full ROS 2 installation. It solves a critical problem for commercial robot operators: recovering the last seconds of sensor and control data after crashes, power losses, or emergency stops that leave MCAP or SQLite3 bag files partially written and unreadable by official tools. The project delivers a clean API for iterating topics and messages, a repair engine that rebuilds truncated file structures, and a stable C ABI for integration into non-ROS products.

Why is it gaining traction?

The robotics industry lacks lightweight options for post-incident data recovery. Official rosbag2 tools require the full ROS 2 stack and cannot open files that were not closed cleanly. LibRobotBagFix targets exactly this gap with a zero-dependency SDK that field teams can deploy on tablets, laptops, or embedded devices without shipping DDS or the ROS 2 runtime. The repair workflow preserves complete records and rebuilds MCAP summaries or SQLite3 schemas while discarding only the truncated tail, giving operators access to data that would otherwise be lost forever.

Who should use this?

This is for robotics engineers supporting autonomous vehicles, inspection robots, or delivery systems who need to analyze incident footage when standard rosbag2 tools fail to open the files. Fleet operators building proprietary tooling will appreciate the embeddable C++ library and FFI-friendly C API for non-C++ integrations. Developers building offline inspection applications for Android or iOS will find the mobile bindings useful.

Verdict

LibRobotBagFix addresses a genuine and underserved problem in ROS-based robotics, but the 1.0% credibility score and 11 stars mean you are an early adopter assuming real risk. The documentation and design docs are thorough for what exists, yet test coverage and community feedback remain unknown quantities. If your use case is production-critical incident recovery, validate the repair logic against your specific bag corruption patterns before committing. For experimental or internal tooling, this is worth a closer look.