Robert Katzschmann is an Assistant Professor of Robotics at ETH Zurich. Robert earned his Diplom-Ingenieur in 2013 from the Karlsruhe Institute of Technology (KIT) and his Ph.D. in Mechanical Engineering in 2018 from the Computer Science and Artificial Intelligence Lab (CSAIL) at the Massachusetts Institute of Technology (MIT) in 2018.

Robert worked on robotic manipulation technologies as Applied Scientist at Amazon Robotics and as CTO at Dexai Robotics. In July 2020, Robert founded the Soft Robotics Lab at ETH Zurich to push robots’ abilities for real-life applications by being more compliant and better adapt to their environment to solve challenging tasks. His group develops soft robots whose compliant properties resemble living organisms and advances modeling, control, and learning techniques tailored to the needs of soft robots. His work has appeared in leading academic journals, including Science Robotics, and has been featured in major news outlets, including the New York Times. Robert is a member of the ETH AI Center, the Max Planck ETH Center for Learning Systems (CLS), and the ETH Competence Center for Materials and Processes (MaP). Robert is an Area Chair for Robotics Science and Systems (RSS), a Guest Editor for the International Journal on Robotics Research (IJRR), and a reviewer for leading peer-reviewed journals, including Science and Nature.The title is:

Creation and Model-​Based Control of Soft Robots Tackling Manipulation and Locomotion Challenges
Soft robotics focuses on the deformable and non-rigid character of our world. Soft robots made of deformable materials surpass the limited degrees of freedom of rigid robots and therefore potentially offer adaptable and inherently safe ways of achieving versatile forms in locomotion and manipulation. Soft robots can homogeneously combine actuation, sensing, and structural complexity within the same component. Two core challenges must be overcome to achieve capable soft robots: First, reproducibly construct their body with fully integrated actuation and sensing. Second, develop robotic “brains” to fully understand and exploit the unique properties of soft robots and the deformable world we life in. In this talk, I will dive deeper into my lab’s recent developments in overcoming some of the challenges in the creation, modeling, and control of soft robotic systems.

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Soft, smart, multifunctional, agile and aware surgical robots: Progress and technologies: Day 3

Talk: Creation and Model-​Based Control of Soft Robots Tackling Manipulation and Locomotion Challenges
Role: Speaker

11th June 2021, 14.00