 |
| 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 (6139) | Fr 01:30PM - 04:20PM | Rm 101, W4 | MA, Jun | 48 | 30 | 18 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| EXCLUSION | INTR 5260 |
| CO-LIST WITH | INTR 5260 |
| DESCRIPTION | The course will cover a wide range of engineering psychology topics as well as how the research in these directions can affect policies and regulations in vehicle design and surface transportation. The students will gain an understanding of the characteristics and limitations of human beings from engineering psychology perspectives of view and how the design of traffic control devices, the roadway, the in-vehicle devices, regulations and traffic rules can be affected by the research in these directions. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6140) | Fr 09:00AM - 11:50AM | TBA | HE, Dengbo | 15 | 7 | 8 | 0 | The classroom is W1222. |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | Electric machines consume more than 50% of the electricity generated by humans in modern society, and they have been widely used in robotics, industry, and transportation. This course provides a comprehensive understanding of electric machines, including their topologies, mathematical models, and operating principles. Students will learn about the latest design techniques and tools used in the engineering practice, as well as the key factors that influence the performance of electric machines. Additionally, the course also covers the knowledge of structural optimization, allowing students to develop and optimize electric machines for specific applications, with particular emphasis on robots and autonomous systems. By the end of the course, students will have a thorough concept of the design, modeling, and optimization of electric machines, enabling them to make informed decisions in developing novel electric machines for various applications. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6143) | Tu 09:00AM - 11:50AM | Rm 202, E1 | ZHAO, Hang | 20 | 9 | 11 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | Materials play a pivotal role in the development of soft robotics by serving as the building blocks that determine the capabilities, durability, and versatility of these intelligent machines. Understanding the properties and applications of different materials is fundamental to pushing the boundaries of soft robotics, enabling the creation of robots that excel in precision, strength, flexibility, and even biocompatibility. This course provides a comprehensive understanding on different smart materials that are used to build soft robots. It covers principles to design such robots by considering their designs, materials properties, operation environments, and actuation modalities, e.g., fluidic, electric, magnetic, and biological actuation. It also features different manufacturing techniques used to create soft robots, including molding, lithography, and 3D printing, while emphasizing material-specific considerations. Finally, it examines real-world cases where specific materials have been instrumental in enhancing the performance, durability, and efficiency of soft robotic platforms. Overall, exploring the diverse range of smart materials available for soft robotics unveils a world of possibilities, driving innovation and pushing the frontiers of what robots can achieve in different fields, from manufacturing and healthcare to exploration and beyond. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6144) | We 09:00AM - 11:50AM | Rm 201, W1 | YASA, Oncay | 20 | 17 | 3 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | Formal methods originate from theoretical computer science and have become a vibrant and interdisciplinary field. At its core, formal methods include formulating specifications to form proof obligations, verifying that the systems indeed meet their specifications via algorithmic proof search, and designing systems to meet those obligations. This course introduces fundamental theories and techniques of formal methods that apply broadly to various dynamical systems, such as robots, autonomous systems and cyber physical systems. Particularly, the following major topics will be covered: formal modeling of systems, formal properties such as regular and omega-regular properties, simulation and abstraction, linear temporal logic (LTL), automata based model checking and game theoretic formal control synthesis and real world engineering applications. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6533) | Mo 09:00AM - 11:50AM | Rm 201, W1 | JI, Yiding | 20 | 12 | 8 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | Learning about fundamentals and latest development of Robotics is crucial for nurturing creative students in Robotics. This course provides a comprehensive overview of the fundamental concepts in robotics and the emerging field of robot learning. Students will explore the principles of robot design, kinematics, dynamics, and control, alongside the latest advancements in robotics with artificial intelligence. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6513) | We 01:30PM - 04:20PM | Rm 150, E1 | NIE, Qiang | 30 | 16 | 14 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | Embodied Intelligence, also known as Embodied AI, is a form of artificial intelligence that integrates physical bodies with intelligent systems. This integration allows these systems to perceive, reason, and interact with the physical world in a manner similar to humans. It represents advancement in the field AI, bridging the gap between digital algorithms and the physical world. Different key components and techniques used in the systems are introduced like sensors (cameras, LiDAR, microphones,tactile sensors,MEMS, etc.) used for perception, neural networks for deep learning, NLP for human interaction. Especially the big data collection (from real world and/or via simulation) and several learning methods will be analyzed. Last but not least the applications in robots, humanoids, autonomous driving etc. will be addressed. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6537) | We 09:00AM - 11:50AM | Rm 105, E3 | DR. LI, WANLIN | 20 | 20 | 0 | 1 |
| VECTOR | [0-1-0:0] |
|---|---|
| DESCRIPTION | Seminar topics presented by students, faculty and guest speakers. Students are expected to attend regularly and demonstrate proficiency in presentation in accordance with the program requirements. Graded P or F. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| T01 (6243) | Tu 03:00PM - 03:50PM | Rm 102, E4 | ZHU, Lei | 130 | 114 | 16 | 0 |
| VECTOR | [1-3 credit(s)] |
|---|---|
| DESCRIPTION | An independent study on selected topics carried out under the supervision of a faculty member. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R01 (6549) | TBA | TBA | TBA | 20 | 1 | 19 | 0 |
| DESCRIPTION | Master's thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R01 (6141) | TBA | No room required | TBA | 999 | 42 | 957 | 0 |
| DESCRIPTION | Original and independent doctoral thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R01 (6142) | TBA | No room required | TBA | 999 | 29 | 970 | 0 |