AI Simulation refers to the use of artificial intelligence techniques to create models or systems that replicate or mimic real-world processes, behaviors, or scenarios. This involves the application of algorithms and computational methods to simulate various conditions or environments, allowing for the testing, analysis, and prediction of outcomes without the need for real-world experimentation. AI simulations are utilized across diverse fields such as robotics, gaming, training, virtual environments, and scientific modeling, enabling researchers and developers to explore complex systems, optimize designs, and enhance decision-making through virtual experimentation. The aim is to provide insights and understanding of dynamics that might be difficult, costly, or unsafe to explore in reality.
Researchers at MIT have unveiled a pioneering virtual training platform named LucidSim, fundamentally transforming how robots acquire skills. This sophisticated simulator generates unlimited and realistic training scenarios, enabling robots to…