COURSE INFO
VECTOR[3-0-0:3]
DESCRIPTIONThis course introduces microscopic robots and covers the fundamentals of their design, fabrication, and control for healthcare applications. Students will explore the interdisciplinary fields of engineering, materials science, medicine, and nanotechnology, and understand how these robots are set to revolutionize diagnostics, targeted therapy, and minimally invasive surgery. This course aims to equip students with the theoretical knowledge and practical insights necessary to contribute to this rapidly advancing field.

ROAS 5200 - Medical Microrobotics: Principles and Applications (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6222) We 09:00AM - 11:50AMRm 105, E3YASA, Immihan Ceren205150 
COURSE INFO
VECTOR[3-0-0:3]
DESCRIPTIONMultiple view geometry techniques can provide robots with the ability to better perceive and reconstruct their surroundings, leading to improved navigation capabilities. This course aims to help students gain a deep understanding of the mathematical and computational methods used in multiple view geometry, including camera calibration, stereo vision, structure from motion, and 3D reconstruction. This knowledge is essential for developing algorithms and systems that can accurately interpret and manipulate visual data in mobile robot navigation and related applications.

ROAS 5300 - Multiple View Geometry for Mobile Robot Navigation (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6223) Fr 03:00PM - 05:50PMRm 201, W1LI, Haoang202000
Instructor Consent Required
 
COURSE INFO
VECTOR[3-0-0:3]
PREVIOUS CODEROAS 6000D
DESCRIPTIONThis course introduces the essential fundamentals, including modeling, sensing, signal transmission and conversion, actuation, control, simulation, and implementation technologies used within the mechatronics design for robots and autonomous systems. It will give a holistic view of advanced automation technologies in industrial applications and provide the essential skills to design intelligent mechatronics systems. Through this course, students can enhance their understanding of the cross-disciplinary integration and systematic optimization of mechatronics systems involving the knowledge of mechanics, electronics, control engineering, and computer science.

ROAS 5500 - Mechatronics Design (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6224) Th 09:00AM - 11:50AMRm 201, E4ZHAO, Hang201370 
COURSE INFO
VECTOR[3-0-0:3]
PREVIOUS CODEROAS 6000B
DESCRIPTIONLight traveling in the 3D world interacts with the scene through intricate processes before being captured by a camera. These processes result in the dazzling effects like color and shading, complex surface and material appearance, different weathering, just to name a few. Physics based vision aims to invert the processes to recover the scene properties, such as shape, reflectance, light distribution, medium properties, etc., from the images by modelling and analyzing the imaging process to extract desired features or information. This course introduces the advanced methodologies in the context of physical-based vision for robotics and autonomous systems. We will introduce diverse techniques, covering from traditional methods based on hand-crafted features to recent deep learning methods. Apart from the fundamental knowledge in physical-based vision, the students will also have opportunities to discover and learn cutting-edge methodologies in popular physical-based vision topics (i.e., bad-weather restoration, shadow detection and removal, specular highlight detection and removal, intrinsic image decomposition, reflection detection and removal, and so on) of the physical-based vision, aligning with the substantial developments in robotics, autonomous driving, UAVs, etc.

ROAS 5800 - Physical-based Vision for Robot and Autonomous Driving (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6225) Tu 03:00PM - 05:50PMRm 102, E4ZHU, Lei403370 
[DELI]
Mode of Delivery
COURSE INFO
ATTRIBUTES[BLD] Blended learning
VECTOR[3-0-0:3]
EXCLUSIONINTR 5330
CO-LIST WITHINTR 5330
DESCRIPTIONThe course will cover a wide range of analytical methods used in human factors research domain. The students will gain an understanding of the procedures, objectives and limitations of different research methods. The course will also include four case studies so that students would gain first-hand experience in applying the methods in real projects. These contents are required for research investigating users’ behaviors.

ROAS 5900 - Analytical Methods in Human Factors Research (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6226) Fr 09:00AM - 11:50AMTBAHE, Dengbo151050
The classroom is W4202.
 
COURSE INFO
VECTOR[3-0-0:3]
DESCRIPTIONRecent advancements in deep learning have significantly enhanced the performance of machine perception systems across various domains, including robotics, autonomous vehicles, and intelligent user interfaces. This course offers an in-depth exploration of the deep learning algorithms and architectures used for a range of perceptual tasks, with a particular focus on cutting-edge research in human-centric computer vision and learning. By the end of the course, students will have gained a solid foundation in algorithms for processing and interpreting human input within computing systems. Specifically, participants will be equipped to develop systems that recognize individuals, detect and describe body parts, infer their spatial configurations, and transfer human motion patterns and skills to robotic systems.

ROAS 6000H - Human Centric Machine Perception (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6227) We 07:00PM - 09:50PMRm 101, W2SONG, Jie202000
Instructor Consent Required
 
COURSE INFO
VECTOR[3-0-0:3]
DESCRIPTIONThis course introduces the transformative role of robotics in modern healthcare, exploring its applications across diagnostics, surgery, rehabilitation, and patient care. Students will gain a comprehensive understanding of how robotics is changing healthcare delivery, from minimally invasive surgical systems like the Da Vinci Surgical System to assistive robots that enhance daily living for individuals with disabilities. In addition, it addresses the integration of AI and machine learning in healthcare robotics, including predictive analytics and AI-assisted diagnostics. Emerging trends, including micro/nanorobots and soft robots, are also discussed to prepare students for future innovations.

ROAS 6000O - Introduction to Robotics in Healthcare (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6234) Tu 09:00AM - 11:50AMRm 103, E1YASA, Oncay201370 
COURSE INFO
VECTOR[0-1-0:0]
DESCRIPTIONSeminar 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.

ROAS 6800I - Seminar in Robotics and Autonomous Systems (0 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
T01 (6236) Fr 01:30PM - 02:20PMRm 101, W1LI, Haoang10010000 
COURSE INFO
VECTOR1 credit
DESCRIPTIONAn independent study on selected topics carried out under the supervision of a faculty member.

ROAS 6900B - Independent Study (1 unit)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
R01 (6703) TBANo room requiredTBA201190
Instructor Consent Required
 
COURSE INFO
DESCRIPTIONMaster'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.

ROAS 6990 - MPhil Thesis Research (0 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
R01 (6054) TBANo room requiredTBA8051290 
COURSE INFO
DESCRIPTIONOriginal 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.

ROAS 7990 - Doctoral Thesis Research (0 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
R01 (6055) TBANo room requiredTBA120201000