Basic Information
How Can Intelligent Machines Perceive, Make Decisions, and Execute Their Plans in an Uncertain, Dynamic World# This Course Will Cover Algorithms For Robotic Perception, Planning, and Control With a Focus On Real-time Adaptation and Learning. Students Should Have Prior Experience With Data Processing and Machine Learning Methods. Topics Covered Include Probabilistic Methods For Scene Segmentation, Multimodal Sensory Intergration, Latent Variable Models For Dynamical Systems, Path Planning For Navigation and Reinforcement Learning For Motor Control. Learning Outcomes# Students Will Learn Fundamental Principles Underlying Algorithms For Intelligent Systems As Well As How to Implement These Algorithms For Real-time Processing.