|Day & Time
428 Pupin Laboratories
|Matei T Ciocarlie
|Method of Instruction
Robots using machine learning to achieve high performance in unscripted situations. Dimensionality reduction, classification, and regression problems in robotics. Deep Learning: Convolutional Neural Networks for robot vision, Recurrent Neural Networks, and sensorimotor robot control using neural networks. Model Predictive Control using learned dynamics models for legged robots and manipulators. Reinforcement Learning in robotics: model-based and model-free methods, deep reinforcement learning, sensorimotor control using reinforcement learning.
|85 students (150 max) as of 8:44PM Wednesday, February 28, 2024
|School of Engineering and Applied Science: Graduate