| Course label : | BME314 Surgical robotics |
|---|---|
| Teaching departement : | MSO / Structures, Mechanisms and Construction |
| Teaching manager : | Mister OLIVIER MAYEUR |
| Education language : | |
| Potential ects : | 2 |
| Results grid : | |
| Code and label (hp) : | MR_BME_S3_MSO_SRO - BME314 Surgical robotics |
Education team
Teachers : Mister OLIVIER MAYEUR
External contributors (business, research, secondary education): various temporary teachers
Summary
This course introduces students to the principles and applications of surgical robotics with a specific emphasis on soft robotics. Topics include the fundamentals of surgical procedures, robotic systems in surgery, and the integration of soft robotics for enhanced flexibility and adaptability. The course involves a combination of theoretical lectures, hands-on laboratory sessions, and real-world case studies. Robotics and the bio-inspiration
Educational goals
Lesson 1 - Kinematics Modeling > Overview > Geometric based modeling > Elastic based modeling Lesson 2 - Dynamics modeling > Hamilton based modeling > Lagrangian based approach Lesson 3 - Motion control > PID based Control > Motion planning based control Lesson 4 - Soft Robotics Fundamentals and integrations in surgery > Introduction to soft robotics > Soft actuators and sensors > Advantages and challenges of soft robotics in surgery > Case studies on soft robotic surgical tools Lesson 5 - Project Work and Presentations > Design and development of a soft robotic surgical tool > Final project presentations and evaluations
Sustainable development goals
Knowledge control procedures
Continuous Assessment / Final Exam
Comments: None
Online resources
Moodle, ANSYS, Onshape, Electrronical components Online documents
Pedagogy
Lesson, Practices, projects
Sequencing / learning methods
| Number of hours - Lectures : | 0 |
|---|---|
| Number of hours - Tutorial : | 0 |
| Number of hours - Practical work : | 0 |
| Number of hours - Seminar : | 24 |
| Number of hours - Half-group seminar : | 0 |
| Number of student hours in TEA (Autonomous learning) : | 0 |
| Number of student hours in TNE (Non-supervised activities) : | 0 |
| Number of hours in CB (Fixed exams) : | 0 |
| Number of student hours in PER (Personal work) : | 0 |
| Number of hours - Projects : | 0 |
Prerequisites
CAD design and Python, Mathematics, Mechanical Engineering, FEA
Maximum number of registrants
Remarks
None