UniSim: An Interactive Real-World AI Simulator Providing Simulation Experiences
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UniSim is an innovative interactive simulator trained by generative models, capable of simulating actions performed by humans, robots, and other interactive agents in a coherent manner, providing them with simulation experiences. This technology represents the next major milestone in generative models, applicable from controllable content creation in games and films to training embodied agents in simulations for real-world deployment.
Website: https://universal-simulator.github.io/unisim/
UniSim can simulate various interactive scenarios, from high-level instructions like "open the drawer" to low-level controls such as "move to x, y position." By carefully orchestrating diverse datasets, it simulates different aspects of interactive experiences, enabling humans and agents to interact with the world and present visual results.
The applications of this interactive simulator are extensive, including training high-level vision-language planners and low-level reinforcement learning policies, all trained in simulations with significant real-world transfer capabilities.
UniSim's potential applications span multiple fields, including gaming, film, and robotics. It also supports users in accessing relevant resources to enhance their decision-making and planning abilities. UniSim represents innovation in the field of generative models, providing a powerful tool for interactive simulation.