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Implementing Control Strategies for Manipulation - ETH Zurich Real World Robotics Tutorial 4
This research aims to advance biohybrid robotics by integrating living biological components with artificial materials. The focus is on developing computational. Excellent academic record and meets ETH Zurich doctorate requirements. SRL Contact. [email protected] � contactsvCard Download. Soft Robotics Lab. @srl-ethz. Soft Robotics Lab, ETH Zurich. We develop soft and biohybrid robots. Our research laboratory that is part of the Institute for Robotics and.

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Reinforcement learning methods make finite element models more tractable. Building on previous work with soft robotic arms, we develop computationally efficient physics models that capture only the relevant degrees of freedom of a soft robot. Are you interested in doing a PhD or Post-Doc in AI with me on topics such as deep learning methods for dexterous robotics manipulation, fast surrogate modeling of multiphysical robotic systems, and the automated computational design of musculoskeletal robots? Candidate: Passionate about robot computer vision for manipulation. Soft Robotic Hands We use embedded 3D printing to produce soft robotic fingers with discrete actuation modes and integrated ionogel soft sensors that provide proprioceptive and tactile sensing corresponding to each degree of freedom.