MaP Distinguished Lecture Series on
Soft Robotics
'Soft Robotics' holds promise to create systems that are inherently safe for humans to interact with. By taking advantage of the compliance and adaptability that soft materials provide, it inspires novel applications.
Important info
The MaP 'Soft Robotics' Lecture Series is currently not offered. If you are interested in the topic, we recommend you the Lecture series in 'Engineering with Living Materials', which has a similar focus.
The advancement of Soft Robotics relies on interdisciplinary collaboration. In our lecture series, we aim to bring together students and researchers with different backgrounds: materials science, engineering, sensing technologies, computational design, and the various domain sciences in which soft robots may find future applications, spanning from advanced manufacturing to (personalised) medical technologies, and construction.
At this interdisciplinary colloquium internationally renowned experts from academia and industry highlight current research and frontiers in Soft Robotics.
Course Objective
Participants become acquainted with the state-of-the-art and frontiers in Soft 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.
Lecture Notes
Selected 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.
Language
English
Periodicity
This course takes place every two years, with the next edition to take place in FS 2023.
Target Audience
Participants should have a solid background in materials science and/or engineering. This course is primarily designed for MSc and doctoral students. Interested BSc students, Postdocs, Professors and employees of the ETH domain are welcome too! For ETH-external participants, registration as an auditor is required.
Performance Assessment
Ungraded semester performance: To obtain 1 ECTS, students must attend min. 80% of the lectures on the program and participate actively in the discussions. Repetition only possible after re-enrolling for the course unit.
Organised by
MaP and its PIs active in Soft Robotics ()
