Soft Robotics LabOpen OpportunitiesThis project focuses on developing neuromuscular biohybrid robots powered by motor neurons to mimic natural muscle movements. By integrating induced pluripotent stem cell (iPSC)-derived motor-neurospheres into a 3D co-culture system with skeletal muscle tissue, the aim is to establish functional neuromuscular junctions and develop engineered motor units. The project involves developing 3D models using hydrogel matrices to culture motor-neurospheres and testing various co-culture systems to achieve functional NMJs. This research leverages knowledge in biology, biomaterials, tissue engineering and 3D culture techniques to overcome current limitations in scaffold design and NMJ functionality in biohybrid robotics. - Biochemistry and Cell Biology, Biomaterials, Biomechanical Engineering, Biotechnology, Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Incorporating electro-adhesion pads on the artificial soft skin of a humanoid robotic hand to enhance its grasping ability in various scenarios. - Electrical and Electronic Engineering, Materials Engineering, Mechanical and Industrial Engineering, Physics
- Bachelor Thesis, Master Thesis, Semester Project
| The Soft Robotics Lab is developing a GPU-accelerated soft body modeling framework using the Finite Element Method (FEM). This enhancement aims to improve computational efficiency and enable more complex, real-time simulations. By leveraging GPUs' parallel processing power, simulations will be significantly faster. The project seeks to advance soft robotics research and enable innovative applications. - Engineering and Technology, Information, Computing and Communication Sciences, Physics
- Bachelor Thesis, Master Thesis, Semester Project
| Development of a linear electrostatic film actuator for soft robotic applications such as the actuation of a humanoid robotic hand. - Electrical and Electronic Engineering, Materials Engineering, Mechanical and Industrial Engineering
- Master Thesis
| This research aims to advance biohybrid robotics by integrating living biological components with artificial materials. The focus is on developing computational models for artificial muscle cells, a critical element in creating biohybrid robots. Challenges include modeling the complex and nonlinear nature of biological muscles, considering factors like elasticity and muscle fatigue, as well as accounting for fluid-structure interaction in the artificial muscle's environment. The research combines first principle soft body simulation methods and machine learning to improve understanding and control of biohybrid systems. - Biology, Engineering and Technology, Information, Computing and Communication Sciences, Physics
- Bachelor Thesis, Master Thesis, Semester Project
| 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
| 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. We will use granular hydrogels to develop sensing components to monitor the state of 3D organoids. - Biology, Composite Materials, Medical and Health Sciences
- Master Thesis, Semester Project
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