151-0636-00L  Soft and Biohybrid Robotics

SemesterSpring Semester 2021
LecturersR. Katzschmann
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
151-0636-00 GSoft and Biohybrid Robotics
Starting from 03.05.21 all the classes will be held at HG D7.1.
3 hrs
Mon10:15-12:00ETZ E 7 »
10:15-12:00HG D 7.1 »
Thu13:15-14:00HG D 7.1 »
13:15-14:00HG E 33.3 »
R. Katzschmann

Catalogue data

AbstractSoft robotics takes inspiration from nature and produces systems that are inherently safer to interact with. The class teaches processes involved in creating the structures, actuators, sensors, mechanical models, controllers, and machine learning models exploiting the deformable structure of soft robots in challenging tasks.
(Class fully online via Zoom)
ObjectiveLearn about the processes involved in creating soft and biohybrid robotic structures, actuator, sensors, mechanical models, closed-loop controllers, and machine learning approaches. Understand how to exploit the structural impedance and the dynamics of soft and biohybrid robots in locomotion and object manipulation tasks. Demonstrated learned capabilities in either a simulation or a physical prototype built at home.
ContentStudents will gain experience on a range of soft technologies and a model-based approaches to design and simulation of soft continuum robots.
0) Semester-long take-home project requiring students to implement the skills and knowledge learned during the class by building their own soft robotic prototype or simulation
1) Functional and intelligent materials for use in soft and biohybrid robotic applications
2) Design and design morphologies of soft robotic actuators and sensors
3) Fabrication techniques including 3D printing, casting, roll-to-roll, tissue engineering
4) Mechanical modeling including minimal parameter models, finite-element models and ML-based models
5) Closed-loop controllers of soft robots that exploit the robot's impedance and dynamics for locomotion and manipulation tasks
6) Deep Learning approaches to soft robotics, for design synthesis, modeling, and control

(Class offered only online via Zoom, see Moodle for details)
Lecture notesAll class materials including slides, recordings, class challenges infos, pre-reads, and tutorial summaries can be found on Moodle: Link
Literature1) Wang, Liyu, Surya G. Nurzaman, and Fumiya Iida. "Soft-material robotics." (2017).
2) Polygerinos, Panagiotis, et al. "Soft robotics: Review of fluid‐driven intrinsically soft devices; manufacturing, sensing, control, and applications in human‐robot interaction." Advanced Engineering Materials 19.12 (2017): 1700016.
3) Verl, Alexander, et al. Soft Robotics. Berlin, Germany:: Springer, 2015.
4) Cianchetti, Matteo, et al. "Biomedical applications of soft robotics." Nature Reviews Materials 3.6 (2018): 143-153.
5) Ricotti, Leonardo, et al. "Biohybrid actuators for robotics: A review of devices actuated by living cells." Science Robotics 2.12 (2017).
6) Sun, Lingyu, et al. "Biohybrid robotics with living cell actuation." Chemical Society Reviews 49.12 (2020): 4043-4069.
Prerequisites / Notice(Robot) dynamics, control systems, introduction to robotics, materials for engineers.
Only for students at master or PhD level.
Class size limitation is at 40 students.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersR. Katzschmann
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationoral 30 minutes
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

 
Main linkSoft and Biohybrid Robotics Class
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places40 at the most
Waiting listuntil 07.03.2021

Offered in

ProgrammeSectionType
Computational Science and Engineering MasterRoboticsWInformation
Robotics, Systems and Control MasterCore CoursesWInformation