AI Habitat
AI Habitat is a simulation platform for research in Embodied AI, aiming to advance the science and engineering of intelligent machines with a physical or virtual embodiment, such as robots and egocentric personal assistants. It enables training of embodied AI agents in a photorealistic and efficient 3D simulator before transferring learned skills to reality. The platform comprises Habitat-Sim, a high-performance physics-enabled 3D simulator; Habitat-Lab, a modular high-level library for end-to-end development; and the Habitat Challenge, an annual competition for benchmarking progress in embodied AI. Key features include support for various 3D environments, configurable sensors, robot descriptions via URDF, and rigid-body mechanics. The platform facilitates research in areas like navigation, object manipulation, and human-robot interaction.
AI Habitat
AI Habitat is a simulation platform for research in Embodied AI, aiming to advance the science and engineering of intelligent machines with a physical or virtual embodiment, such as robots and egocentric personal assistants. It enables training of embodied AI agents in a photorealistic and efficient 3D simulator before transferring learned skills to reality. The platform comprises Habitat-Sim, a high-performance physics-enabled 3D simulator; Habitat-Lab, a modular high-level library for end-to-end development; and the Habitat Challenge, an annual competition for benchmarking progress in embodied AI. Key features include support for various 3D environments, configurable sensors, robot descriptions via URDF, and rigid-body mechanics. The platform facilitates research in areas like navigation, object manipulation, and human-robot interaction.