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Soft Robotics Lab

AcronymSRL
Homepagehttp://www.srl.ethz.ch/
CountrySwitzerland
ZIP, City8092 Zürich
AddressTannenstrasse 3
Phone‭+41 44 632 22 40‬
TypeAcademy
Top-level organizationETH Zurich
Parent organizationInstitute of Robotics and Intelligent Systems D-MAVT
Current organizationSoft Robotics Lab
Memberships
  • ETH Competence Center for Materials and Processes (MaP)


Open Opportunities

Semantic Robotic Manipulation and Multi-Task Learning

  • ETH Zurich
  • ETH Competence Center - ETH AI Center Other organizations: Soft Robotics Lab

Robotic Manipulation is one of the areas of robotics which has benefited the most from recent advances in large pre-trained machine learning models. At the Soft Robotics Lab, we aim to leverage such models for innovative applications to multi-task manipulation of rigid and soft objects. In this thesis, we plan to 1) set up a manipulation pipeline for control and data collection, and 2) advance the state of imitation learning by leveraging pre-trained semantic models.

  • Intelligent Robotics, Knowledge Representation and Machine Learning
  • Internship, Master Thesis, Semester Project

Muscle tissue engineering for bio-hybrid robotics

  • ETH Zurich
  • Soft Robotics Lab Other organizations: High Performance Ceramics

You will obtain functional constructs of living muscle tissue that can be implemented into robots as bio-actuators. The tissue will be realized via bioprinting or conventional biofabrication in 3D designs at the mm-to-cm scale. The deformation of the constructs will be achieved via electrical stimulation of contractile muscle cells, and integrated sensing elements will monitor the motion of the tissue constructs, improving functionality and autonomy.

  • Biology, Engineering and Technology, Medical and Health Sciences
  • Master Thesis, Semester Project

Muscle tissue engineering for bio-hybrid robotics

  • ETH Zurich
  • Soft Robotics Lab

The aim is to obtain constructs of living muscle tissue that can be prospectively implemented into soft robots. Engineered tissues will be biofabricated from skeletal muscle cells in designs at the mm-to-cm scale via 3D bioprinting. Constructs will be able to deform by contraction of the muscle cells under electrical stimulation and implemented into soft robots allowing for their movements. Integrating piezoresistive sensing elements-based on hydrogels, during the printing process, will allow the monitoring of the bio-hybrid tissue constructs, improving autonomy and functionality of the bio-hybrid robots.

  • Biology, Biomaterials, Mechanical Engineering, Medical and Health Sciences
  • Master Thesis, Semester Project
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