Spring 2024 Mechanical Engineering: Computer Science E6616 section 001

ROBOT LEARNING

Call Number 18477
Day & Time
Location
TR 1:10pm-2:25pm
833 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Matei T Ciocarlie
Type LECTURE
Method of Instruction In-Person
Course Description

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.

Web Site Vergil
Department Mechanical Engineering
Enrollment 73 students (120 max) as of 3:06PM Thursday, December 12, 2024
Subject Mechanical Engineering: Computer Science
Number E6616
Section 001
Division School of Engineering and Applied Science: Graduate
Section key 20241MECS6616E001