Facebook has recently launched an artificial intelligence open-sourced Droidlet— one-stop destination for developing robots with robotics, NLP, and computer vision. This platform is created to expand the functionalities of robots because much work is pending to achieve full potential through the implementations of robotics, artificial intelligence, and NLP. It is an open-source project designed to quickly prototype artificial intelligence and machine learning algorithms in a seamless process.

Droidlet is created for building embodied agents with smart functionalities such as recognizing, reacting, or navigating the barriers and paths in front of robots. It helps in simplifying and integrating different kinds of AI and machine learning algorithms. Developers can use Droidlet to test out multiple computer vision algorithms with robots replacing one natural language with another through NLP. This platform helps developers and researchers to build agents for completing complicated tasks with real-life problems. Droidlet is also a developed set of modules and nodes that include primitives for visual perception and language building.  These available components— heuristic as well as learned— will provide programming experience to build robots through the integration of Robotics.

Facebook Droidlet consists of a memory system to act as a store of real-time data from different modules, a complete set of perceptual modules to process real-time data from the real-life environment, a set of lower-level tasks to affect changes in the environment of robots, and a controller to execute orders with the memory system. It also offers battery-included systems to help in perceiving the environment through pre-trained object detection as well as pose estimation models. Droidlet is also known for supporting researchers to develop embodied agents without friction in integrating Artificial Intelligence and machine learning models.

It is anticipated that Facebook Droidlet will help researchers and developers to collaborate and build more intelligent robots faster than the usual time limit. Here, they can utilize the same intelligent agent with different robotics hardware by swapping out tasks and perceptual models according to physical architecture, data annotation, and sensor requirements. It also consists of an interactive dashboard, debugging tools, and data visualization tools to be an operational interface for developing agents without any human error.

Droidlet is becoming popular due to its seamless connection with artificial intelligence and robotics. Researchers can develop robots by using sensors and can update machine learning algorithms, as per the current situation. Let's hope for Facebook Droidlet to work successfully in the nearby future so that developers can build more smart robots, adapted to the real-life ambiance.