| Call Number | 15379 |
|---|---|
| Day & Time Location |
TR 1:10pm-2:25pm 428 Pupin Laboratories |
| 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 | 85 students (150 max) as of 1:06PM Saturday, May 10, 2025 |
| Subject | Mechanical Engineering |
| Number | E6616 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Campus | Morningside |
| Section key | 20231MECE6616E001 |