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bandu

Bandu: AI Agents based on ROS2

Overview

It is a multi agent based application where each agent has different capabilities and tools to interact with the robot using ROS2 communication. The agents can be used to perform various tasks such as driving the robot, getting the temperature of the robot, telling jokes, etc.

Architecture

Features

  • Multi-agent system with different capabilities
  • Agents can interact with the robot using ROS2 communication
  • Agents can use tools to perform various tasks
  • Web-based UI to interact with the agents
  • Built using Chainlit for easy deployment and interaction
  • LLM model used: GPT-4-Turbo (can be changed in the code to use other models)

Hierarchical Agents

Hierarchical Agents

Installation steps

# create a virtual env and install deps
pip install -r requirements.txt

# start app
chainlit run app.py --host 0.0.0.0

UI

App UI

Image Credits

Images used in this repository are downloaded from Flaticon.

Metadata

Release files for bandu-rai 0.1.2

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0.1.2 This release

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0.1.1

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0.1.0

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