Symbotic is an advanced AI Agent designed to enhance warehouse automation. By utilizing cutting-edge robotics and AI solutions, it optimizes the flow of goods and inventory within warehouses. The system employs computer vision and machine learning algorithms to facilitate fast and accurate handling of inventory, reducing operational costs and improving efficiency. Its capabilities include autonomous movement of goods, real-time inventory tracking, and data analytics, all aimed at transforming traditional warehouse operations into highly efficient automated systems.

The Multi Agent Robotic System project offers a modular Python-based platform for developing, simulating, and deploying cooperative robotic teams. At its core, it implements decentralized control strategies, enabling robots to share state information and collaboratively allocate tasks without a central coordinator. The system includes built-in modules for path planning, collision avoidance, environment mapping, and dynamic task scheduling. Developers can integrate new algorithms by extending provided interfaces, adjust communication protocols via configuration files, and visualize robot interactions in simulated environments. Compatible with ROS, it supports seamless transitions from simulation to real-world hardware deployments. This framework accelerates research by providing reusable components for swarm behavior, collaborative exploration, and warehouse automation experiments.