Introduction to Soft Robotics
Course ID
Course Title
ECTS value
Internal Course Code
Responsible study board
Administrative Unit
Date of Approval
Course Responsible
Name | Department | |
---|---|---|
Dirk Kraft | kraft@mmmi.sdu.dk | Mærsk Mc-Kinney Møller Instituttet |
Kamilla Juel Sørensen | kjs@tek.sdu.dk | TEK Uddannelseskoordinering og -support, Det Tekniske Fakultet |
Teachers
Name | Department | City | |
---|---|---|---|
Ahmad Rafsanjani Abbasi | ahra@mmmi.sdu.dk | SDU Biorobotics, Mærsk Mc-Kinney Møller Instituttet | |
Jonas Jørgensen | jonj@mmmi.sdu.dk | SDU Biorobotics, Mærsk Mc-Kinney Møller Instituttet | |
Xiaofeng Xiong | xizi@mmmi.sdu.dk | SDU Biorobotics, Mærsk Mc-Kinney Møller Instituttet |
Programme Secretary
Name | Department | City | |
---|---|---|---|
Danny Colmorten | daco@tek.sdu.dk | TEK Uddannelseskoordinering og -support, Det Tekniske Fakultet |
Offered in
Level
Offered in
Duration
Recommended prerequisites
Learning objectives - Knowledge
Upon completion of this course successful students will be able to:
- Summarize the working principles of soft robots and outline major innovations in the field of soft robotics.
- Describe fundamental mechanisms of actuation, sensing, and control in the context of soft robotics systems and explain their advantages and limitations.
- Identify different design and fabrication techniques and choose proper methods for constructing soft robots
Learning objectives - Skills
Upon completion of this course successful students will be able to:
- Design, compose, construct, and evaluate soft robotics prototypes for specific tasks
- Test and analyze the performance of soft robotic elements and interpret the results
- Fabricate functioning soft robotic devices made of compliant materials.
Learning objectives - Competences
- Apply the methods of iterative, incremental development in the construction of a prototype.
- Conceive an idea for a soft robotic prototype for a specific task or application and execute it, drawing on knowledge of existing work and techniques.
- Develop novel soft robot designs, soft robotic components, or fabrication techniques
Content
This course is an interdisciplinary introduction to soft robotics and reviews recent works and research in this field. Soft robots are an emerging class of robots that take inspiration from natural organisms and deal with constructing robots from highly compliant materials to create soft machines that can adapt to a wide variety of tasks. The teaching encompasses theoretical and practical work on actuation and perception mechanisms, sensing technologies, control strategies, and design and fabrication techniques for soft robots. It also surveys several cases of implementing these elements in soft robotic systems. Alongside the theoretical, and methodological study, students will gain hands-on experience working with soft robotics through lab exercises and work on a final group project and build a soft robot prototype.
Topics that will be covered in this course include
- Bioinspired soft robots
- Engineering soft materials for soft robots
- Principles of soft actuation mechanisms
- Sensing technologies for sensorized soft robots
- Control strategies for soft robots
- Computational tools for modeling and simulation of soft robots
- Design and fabrication techniques for soft robots
- Selected applications of soft robots
URL for Skemaplan
Number of lessons
Teaching Method
- 1 weekly lecture and 4 hours of interactive lab tutorials (in total for 12 weeks)
- Students should hand in assignments and prepare some presentations.
- Students will work on an exam project in groups or individually under supervision of lecturers
- Students should hand in a short report on the final project at the end of the course in a predefined format. For a group project, the final report can also be handed in as a group report.
- Students should create a video on their project that will be exhibited at the end of the semester.
Teaching language
Examination regulations
Exam regulations
Name
Tests
Exam
EKA
Name
Description
Individual exam based on course materials and the final project report. The final project and the short report will be part of the overall assessment towards the final grade.
Exam condition:
The mandatory exercises and the corresponding project reports must be handed in in time and in accordance with requirements specified at the beginning of the semester.
Form of examination
Censorship
Grading
Identification
Language
ECTS value
Additional information
Participant limit
Courses offered
Offer period | Offer type | Profile | Education | Semester |
---|---|---|---|---|
Fall 2021 | Optional | Spiludvikling og læringsteknologi, kandidat 2021 | Master of Science in Engineering (Game Development and Learning Technology) | Master of Science in Engineering (Game Development and Learning Technology) | Odense | |
Fall 2021 | Optional | Drones and Autonomous Systems (DAS) 2021 | Master of Science in Engineering (Robot Systems) | Odense | |
Fall 2021 | Optional | Advanced Robotics Technology (ART) 2021 | Master of Science in Engineering (Robot Systems) | Odense | |
Fall 2021 | Optional | Drones and Autonomous Systems (DAS) 2020 | Master of Science in Engineering (Robot Systems) | Odense | |
Fall 2021 | Optional | Advanced Robotics Technology (ART) 2020 | Master of Science in Engineering (Robot Systems) | Odense | |
Fall 2021 | Optional | Product Development and Innovation - enrollment spring 2021 (2021 will be the last year with spring intake) | Master of Science in Engineering (Product Development and Innovation) | Odense | |
Fall 2021 | Optional | Product Development and Innovation - enrollment autumn 2021 | Master of Science in Engineering (Product Development and Innovation) | Odense | |
Fall 2021 | Optional | Product Development and Innovation - enrollment autumn 2020 | Master of Science in Engineering (Product Development and Innovation) | Odense | |
Fall 2021 | Optional | Product Development and Innovation - enrollment spring 2020 | Master of Science in Engineering (Product Development and Innovation) | Odense | |
Fall 2021 | Optional | SundhedsIT 2020 | Master of Science in Engineering (Health and Welfare Technology) | Odense | |
Fall 2021 | Optional | RoboMedic 2020 | Master of Science in Engineering (Health and Welfare Technology) | Odense | |
Fall 2021 | Optional | SundhedsIT 2021 | Master of Science in Engineering (Health Informatics and Technology) | Master of Science in Engineering (Health Informatics and Technology) | Odense | |
Fall 2021 | Optional | RoboMedic 2021 | Master of Science in Engineering (Health Informatics and Technology) | Master of Science in Engineering (Health Informatics and Technology) | Odense | |
Fall 2021 | Optional | MSc in Robot Systems, 2021, Drones and Autonomous Systems (DAS) | Master of Science in Engineering (Robot Systems) | Odense | |
Fall 2021 | Optional | MSc in Robot Systems, 2021, Advanced Robotics Technology (ART) | Master of Science in Engineering (Robot Systems) | Odense |