Machine Learning and Optimization - Now Also with UAVs - iHLS Israel Homeland Security

Machine learning is becoming an increasingly important artificial intelligence approach to building autonomous and robotic systems. One of the key challenges with machine learning is the need for many samples, the amount of data needed to learn useful behaviors is high. In addition, the robotic system is often non-operational during the training phase. This requires debugging to occur in real-world experiments with an unpredictable robot. Microsoft's Aerial Informatics and Robotics platform has a solution for these two problems: It will provide realistic simulation tools for designers and developers to generate the training data needed and will also leverage recent innovations in physics to create accurate, real-world simulations.