#ROS 2

Discover how llama_ros enables the integration of llama.cpp's optimization features into ROS 2 projects. It supports GGUF-based LLMs, VLMs, real-time LoRA changes, and GBNF grammars, enhancing robotic applications. The repository includes detailed installation guides, Docker options, and usage examples. Enhance ROS 2 functionality with CUDA support and other tools offered by llama_ros, suitable for expanding project capabilities with LangChain and related demos.

Explore modular optimization techniques for efficient localization and mapping integrated with ROS 2 Humble, Iron, Jazzy, and Rolling. MOLA offers features like metrics evaluation and imu preintegration supporting amd64 and arm64 architectures. Access documentation for build instructions, demos, and API references, helping researchers and developers in robotics leverage a comprehensive optimization framework.