

Highlight 1
The toolset is highly efficient for handling common ROS2-related tasks, such as bag file manipulation, which can save users significant time and effort.
Highlight 2
The inclusion of both GUI and command-line interfaces gives flexibility to different user preferences, making it accessible to both beginners and advanced users.
Highlight 3
The optimization with multithreading and hardware acceleration ensures fast performance, making it suitable for larger projects or time-sensitive tasks.

Improvement 1
The tool is still in the alpha phase, and additional features like GUI-based ROS bag merging or more advanced message selection options would be valuable for users.
Improvement 2
Since the tool depends on several external libraries (ROS2, OpenCV, Qt6), better handling of dependencies and clearer setup instructions could improve the user experience.
Improvement 3
Expanding support for more ROS2 versions beyond Humble and Jazzy, as well as offering compatibility with more operating systems, could make it more accessible.
Product Functionality
Enhancing the tool to support more advanced features like GUI-based ROS bag merging and republishing of topics under new names could expand its functionality. More video/image processing options would also increase its versatility.
UI & UX
The UI can be further polished by improving layout consistency and ensuring the interface is intuitive for first-time users. Adding tooltips or an integrated tutorial could help users navigate complex features more easily.
SEO or Marketing
To improve discoverability, the website could benefit from clearer, keyword-rich descriptions of its features and capabilities. Adding user testimonials or use case examples could help attract more users.
MultiLanguage Support
Since the tool is used internationally, adding multi-language support (e.g., for non-English speaking users) would increase accessibility and adoption.
- 1
What ROS2 versions are supported by the ros2_utils_tool?
Currently, the ros2_utils_tool supports ROS2 Humble and Jazzy. Further versions might be added in future updates.
- 2
How can I install the dependencies for ros2_utils_tool?
You can install the necessary dependencies using the following command: 'sudo apt install libopencv-dev ros-humble-cv-bridge qt6-base-dev ros-humble-catch-ros2'. For ROS2 Jazzy, use 'sudo apt install libopencv-dev ros-jazzy-cv-bridge qt6-base-dev ros-jazzy-catch-ros2'.
- 3
Is the ros2_utils_tool compatible with Windows?
The ros2_utils_tool currently supports Linux environments, specifically with ROS2 distributions for Linux. There is no official support for Windows at this time.