 |
| VECTOR | [3-0-0:3] |
|---|---|
| PREVIOUS CODE | ROAS 6000C |
| DESCRIPTION | This course introduces the advanced methodologies in the context of motion planning and control for robotics and autonomous systems. Various methodologies are introduced, including search-based methods, grid-based methods, sampling-based methods, optimization-based methods, learning-based methods, etc. In general, this course covers modern approaches, deep theory, and good practice envisions. In addition to the fundamental knowledge in motion planning and control, the students will also have the opportunity to discover and learn cutting-edge methodologies in the related field, aligning with the substantial developments in robotics, autonomous driving, UAVs, etc. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6124) | Fr 09:00AM - 11:50AM | Rm 149, E1 | MA, Jun | 45 | 31 | 14 | 0 |
| VECTOR | [2-0-0:2] |
|---|---|
| PREVIOUS CODE | IIMP 6010 |
| DESCRIPTION | This course focuses on using various approaches to perform quantitative analysis through real-world examples. Students will learn how to use different tools in an interdisciplinary project and how to acquire new skills on their own. The course offers different modules that are multidisciplinary/multifunctional and generally applicable to a wide class of problems. May be graded PP. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6136) | TBA | TBA | CAI, Yi CUI, Ying GAN, Zecheng LI, Lei MA, Jun TAN, Chee Keong XIONG, Hui XU, Kewei ZHANG, Zhuoni | 350 | 351 | 0 | 0 |