Robert Katzschmann: Catalogue data in Spring Semester 2023

Name Prof. Dr. Robert Katzschmann
Name variantsRobert K. Katzschmann
R. Katzschmann
Robert K Katzschmann
Robert Katzschmann
Robert Kevin Katzschmann
FieldRobotics
Address
Professur für Robotik
ETH Zürich, CLA F 1.2
Tannenstrasse 3
8092 Zürich
SWITZERLAND
Telephone+41 44 632 22 40
E-mailrkk@ethz.ch
URLhttp://srl.ethz.ch
DepartmentMechanical and Process Engineering
RelationshipAssistant Professor (Tenure Track)

NumberTitleECTSHoursLecturers
151-0073-21LSURF‐eDNA Restricted registration - show details
Prerequisite: Enrollment for 151-0073-20L SURF‐eDNA in HS22.
14 credits15AR. Katzschmann
AbstractStudents develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc).
Learning objectiveThe various objectives of the Focus Project are:
- Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester
- Team organization, work in teams, increase of interpersonal skills
- Independence, initiative, independent learning of new topic contents
- Problem structuring, solution identification in indistinct problem definitions, searches of information
- System description and simulation
- Presentation methods, writing of a document
- Ability to make decisions, implementation skills
- Workshop and industrial contacts
- Learning and recess of special knowledge
- Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM)
151-0073-51LMetaSuit Restricted registration - show details
Prerequisite: Enrollment for 151-0073-50L MetaSuit in HS22.
14 credits15AR. Katzschmann
AbstractStudents develop and build a product from A-Z! They work in teams and independently, learn to structure problems, to identify solutions, system analysis and simulations, as well as presentation and documentation techniques. They build the product with access to a machine shop and state of the art engineering tools (Matlab, Simulink, etc).
Learning objectiveThe various objectives of the Focus Project are:
- Synthesizing and deepening the theoretical knowledge from the basic courses of the 1. - 4. semester
- Team organization, work in teams, increase of interpersonal skills
- Independence, initiative, independent learning of new topic contents
- Problem structuring, solution identification in indistinct problem definitions, searches of information
- System description and simulation
- Presentation methods, writing of a document
- Ability to make decisions, implementation skills
- Workshop and industrial contacts
- Learning and recess of special knowledge
- Control of most modern engineering tools (Matlab, Simulink, CAD, CAE, PDM)
ContentSeveral teams of 4-8 students of the ETH as well as students from other universities realize a product during two semesters. On the basis of a vision and provocative problem definition, all processes of product development are beat down close-to-reality: conception, design, engineering, simulation, draft and production. The teams are coached by experienced staff who gives them the possibility of a unique learning experience.
Innovative ideas of the research labs of the ETH, of industrial partners or students are selected and realized by the teams.
151-0636-00LSoft and Biohybrid Robotics Information Restricted registration - show details 4 credits3GR. Katzschmann
AbstractSoft and biohybrid robotics are emerging fields taking inspiration from nature to create robots that are inherently safer to interact with. You learn how to create structures, actuators, sensors, models, controllers, and machine learning architectures exploiting the deformable nature of soft robots. You also learn how to apply soft robotic principles to challenges of your research domain.
Learning objectiveLearning Objective 1: Solve a robotics challenge with a soft robotic design
Step 1: Formulate suitable functional requirements for the challenge
Step 2: Select soft robotic actuator material
Step 3: Design and fabrication approach suitable for the challenge
Step 4: Basic controller for robotic functionality

Learning Objective 2: Formulate modeling, control, and learning frameworks for highly articulated robots in real-life scenarios
Step 1: Formulate the dynamic skills needed for the real-life scenario
Step 2: Pick + combine suitable multiphysics modeling, control + learning techniques for this scenario
Step 3: Evaluate the modeling/control approach for a real-life scenario
Step 4: Modify and enhance the modeling/control approach and repeat the evaluation
Step 5: Choose a learning approach for complex robotic skills

Learning Objective 3: Apply the principles of mechanical impedance and embodied intelligence to soft robotic challenges in various domains
Step 1: Identify the moving aspects of the problem
Step 2: Choose and design the passive and actively-controlled degrees of freedom
Step 3: Pick the actuation material based on suitability to your challenge
Step 4: Design in detail multiple combinations of body and brain
Step 5: Simulate, build, test, fail, and repeat this often and quickly until the soft robot works for simple settings
Step 6: Upgrade and validate the robot for a suitable performance under real-world conditions

Learning Objective 4: Rethink robotic approaches by moving towards designs made of living materials
Step 1: Identify what problems could be easier to solve with a complex living material
Step 2: Scout for available works that have potentially tackled the problem with a living material
Step 3: Formulate a hypothesis for your new approach with a living material
Step 4: Design a minimum viable prototype (MVP) that suitably highlights your new approach
ContentStudents will learn about the latest research advances in material technologies, fabrication, modeling, and machine learning to design, simulate, build, and control soft and biohybrid robots.

Part 1: Functional and intelligent materials for use in soft and biohybrid robotic applications
Part 2: Design and design morphologies of soft robotic actuators and sensors
Part 3: Fabrication techniques including 3D printing, casting, roll-to-roll, tissue engineering
Part 4: Biohybrid robotics including microrobots and macrorobots; tissue engineering
Part 5: Mechanical modeling including minimal parameter models, finite-element models, and ML-based models
Part 6: Closed-loop controllers of soft robots that exploit the robot's impedance and dynamics for locomotion and manipulation tasks
Part 7: Machine Learning approaches to soft robotics, for design synthesis, modeling, and control

Regular assignments throughout the semester will teach the participants to implement the skills and knowledge learned during the class.
Lecture notesAll class materials including slides, recordings, assignments, pre-reads, and tutorials can be found on the Moodle page of the class.
Literature1) Yasa et al. "An Overview of Soft Robotics." Annu. Rev. Control Robot. Auton. Syst. (2023). 6:1–29.
2) Polygerinos 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) Cianchetti, et al. "Biomedical applications of soft robotics." Nature Reviews Materials 3.6 (2018): 143-153.
4) Ricotti et al. "Biohybrid actuators for robotics: A review of devices actuated by living cells." Science Robotics 2.12 (2017).
5) Sun et al. "Biohybrid robotics with living cell actuation." Chemical Society Reviews 49.12 (2020): 4043-4069.
Prerequisites / Notice- Prerequesites are dynamics, controls, and intro to robotics.
- Only for students at master or PhD level.
- Due to the limited places, the priority goes first to students from the Robotics, Systems and Control Master and second to the other study programs where the course is offered.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Decision-makingfostered
Media and Digital Technologiesassessed
Problem-solvingassessed
Project Managementassessed
Social CompetenciesCommunicationassessed
Cooperation and Teamworkassessed
Customer Orientationfostered
Leadership and Responsibilityfostered
Self-presentation and Social Influence fostered
Sensitivity to Diversityfostered
Negotiationfostered
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingassessed
Critical Thinkingassessed
Integrity and Work Ethicsfostered
Self-awareness and Self-reflection fostered
Self-direction and Self-management fostered
151-0638-00LMaP Distinguished Lecture Series on Engineering with Living Materials
This course is primarily designed for MSc and doctoral students. Guests are welcome.

Former title: MaP Distinguished Lecture Series on Soft Robotics
1 credit2SR. Katzschmann, M. Filippi, X.‑H. Qin, Z. Zhang
AbstractThis course is an interdisciplinary colloquium on the engineering of biohybrid systems and robotics. Internationally renowned speakers from academia and industry give lectures about their cutting-edge research, which highlights the state-of-the-art and frontiers in the field of engineering with living materials and biohybrids.
Learning objectiveParticipants become acquainted with the state-of-the-art and frontiers in biohybrid systems and robotics, which is a topic of global and future relevance from the field of materials and process engineering. The self-study of relevant literature and active participation in discussions following presentations by internationally renowned speakers stimulate critical thinking and allow participants to deliberately discuss challenges and opportunities with leading academics and industrial experts and to exchange ideas within an interdisciplinary community.
ContentThis course is a colloquium involving a selected mix of internationally renowned speakers from academia and industry who present their cutting-edge research in the field of engineered systems using living materials. In particular, the course will cover fundamentals of bioengineering at a multicellular level (biofabrication), as well as examples of manufacturing and application of living cells to engineered systems for medical applications and beyond. Speakers will show how to combine living cells with non-living, synthetic materials to realize bio-hybrid systems to be applied to many fields of human life, ranging from biomedicine to robotics, biosensing, ecology, and architecture. It will be shown how bio-hybrid technologies and cutting-edge engineering techniques can support cell proliferation and even enhance their cell functions. The course will cover materials and approaches for the biofabrication of living tissue, seen as a biomedical model for pathophysiological discovery research, or as transplantable grafts for tissue regeneration. Speakers will illustrate how living species can contribute to ecological approaches in town planning (such as CO2 sequestration), sensing and processor technologies enabled by connective and signaling abilities of cells, and motile systems actuated by contractile cells (bio-hybrid robots).  The main learning objective is to learn about: materials and techniques to build intelligent biological systems for future, sustainable societies; mechanisms of cell and tissue programmability; and applications in bio-robotics, communication, sensing technologies, and medical engineering.
The self-study of relevant pre-read literature provided in advance of each lecture serves as a basis for active participation in the critical discussions following each presentation.
Lecture notesSelected scientific pre-read literature (around two articles per lecture) relevant for and discussed during the lectures is posted in advance on the course web page.
Prerequisites / NoticeThis course is taught by a selection of internationally renowned speakers from academia and industry working in the field of bio-hybrid systems and robotics. This lecture series is focusing on the recent trends in engineering with living materials.

Participants should have a background in tissue engineering, material science, and/or robotics.

To obtain credits, students need to: (i) attend 80% of all lectures; (ii) submit a one-page abstract of 3 different lectures. The performance will be assessed with a "Pass/Fail" format.

On-site attendance to the lectures is preferred to foster in-person contacts. However, for lectures given by online speakers, a Zoom link to attend remotely will be provided on Moodle.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesfostered
Media and Digital Technologiesfostered
Problem-solvingfostered
Social CompetenciesCommunicationfostered
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingfostered
Critical Thinkingfostered
Integrity and Work Ethicsfostered
Self-awareness and Self-reflection fostered
Self-direction and Self-management fostered
327-2224-00LMaP Distinguished Lecture Series on Additive Manufacturing
Does not take place this semester.
This course is primarily designed for MSc and doctoral students. Guests are welcome.
1 credit2SR. Katzschmann, L. De Lorenzis, to be announced
AbstractThis course is an interdisciplinary colloquium on Additive Manufacturing (AM) with focus on simulation and biohybrid robotics. Internationally renowned experts from academia and industry present cutting-edge research, highlighting the state-of-the-art and frontiers in the field.
Learning objectiveParticipants become acquainted with the state-of-the-art and frontiers in Additive Manufacturing, a topic of global and future relevance for materials and process engineering. A focus is placed on simulation and biohybrid robotics applications. The self-study of relevant literature and active participation in discussions following presentations by internationally renowned speakers stimulate critical thinking and allow participants to deliberately discuss challenges and opportunities with leading academics and industrial experts and exchange ideas within an interdisciplinary community.
ContentThis course is a colloquium involving a selected mix of internationally renowned speakers from academia and industry who present their cutting-edge research in the field of Additive Manufacturing. The self-study of relevant pre-read literature provided in advance of each lecture serves as a basis for active participation in the critical discussions following each presentation.
Lecture notesSelected scientific pre-read literature (max. three articles per lecture) relevant for and discussed during the lectures is posted in advance on the course web page.
Prerequisites / NoticeParticipants should have a solid background in materials science and/or engineering.
401-5860-00LSeminar in Robotics for CSE4 credits2SM. Hutter, R. Katzschmann, E. Konukoglu, B. Nelson, R. Siegwart, M. Zeilinger
AbstractThis course provides an opportunity to familiarize yourself with the advanced topics of robotics and mechatronics research. The seminar consists of a literature study, including a report and a presentation.
Learning objectiveThe students are familiar with the challenges of the fascinating and interdisciplinary field of Robotics and Mechatronics. They are introduced in the basics of independent non-experimental scientific research and are able to summarize and to present the results efficiently.
ContentThis 4 ECTS course requires each student to discuss a study plan with the lecturer and select minimum 10 relevant scientific publications to read through. At the end of semester, the results should be presented in an oral presentation and summarized in a report.