| Call Number | 20860 |
|---|---|
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Matei T Ciocarlie |
| Type | LECTURE |
| Method of Instruction | On-Line Only |
| 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 | Video Network |
| Enrollment | 4 students (99 max) as of 9:14PM Wednesday, November 20, 2024 |
| Subject | Mechanical Engineering: Computer Science |
| Number | E6616 |
| Section | V01 |
| Division | School of Engineering and Applied Science: Graduate |
| Fee | $395 CVN Course Fee |
| Note | VIDEO NETWORK STUDENTS ONLY |
| Section key | 20241MECS6616EV01 |