Samsung Ballie is an innovative AI agent that seamlessly integrates with your home environment to offer a range of functionalities including security monitoring, smart device control, and personalized communication. Equipped with advanced sensors and machine learning capabilities, Ballie can navigate your home, monitor activities, and even interact with family members through voice commands. It learns user preferences over time, providing a custom-tailored experience that enhances home life.

Patrolling-Zoo offers a flexible framework enabling users to create and experiment with multi-agent patrolling tasks in Python. The library includes a variety of grid-based and graph-based environments, each simulating surveillance, monitoring, and coverage scenarios. Users can configure the number of agents, map size, topology, reward functions, and observation spaces. Through compatibility with PettingZoo and Gym APIs, it supports seamless integration with popular reinforcement learning algorithms. This environment facilitates benchmarking and comparing MARL techniques under consistent settings. By providing standard scenarios and tools to customize new ones, Patrolling-Zoo accelerates research in autonomous robotics, security surveillance, search-and-rescue operations, and efficient area coverage using multi-agent coordination strategies.