Integration of ROS 2 robots with LLM agents
The basic idea of an AI agent is to use an LLM as a reasoning engine to determine the appropriate sequence and order of pre-coded actions to take.
By combining an LLM-based agent with ROS 2, we can create multiple robotic applications. For example, it can be used in service robots to interact with the robot and perform meaningful robot actions based on user input. We can also use LLM agents for autonomous navigation and manipulation.
Different software frameworks are available to create an LLM-based agent. We can create an AI agent from scratch, but the development will be much quicker by using a framework. Here are a few popular AI agent frameworks:
- LangChain [5]: This is an open-source framework for creating LLM-based AI agents. Developers can create context-aware, reasoning-capable, and tool-integrated AI applications. LangChain has features such as chains, which are sequences of LLM calls or tools designed for multi...
