Reaching and grasping an object of interest is a relatively simple
task that can be achieved robustly in case the object is equipped
with a simple handle and a visual marker. However, often the difficulty in the task originates from the rest of the environment.
The object may be placed in cluttered spaces with diverse obstacles
as well as dynamic entities, e.g. humans, other robots. As a result,
executing the task of reaching and grasping the object necessitates
collision-free motion control capabilities. - Intelligent Robotics, Robotics and Mechatronics
- Master Thesis, Semester Project
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This master thesis aims to establish a comprehensive baseline for the LIB recycling industry, evaluating CO2 emissions and associated costs. Based on literature reviews and expert interviews you can build techno-economic analyses and conduct life-cycle assessments using Python. These will inform the development of low-carbon scenarios to enhance the sustainability of battery technologies. Join our dynamic and interdisciplinary research group to contribute to critical advancements in environmental and economic aspects of LIB recycling. - Environmental Engineering Modelling, Industrial Engineering, Innovation and Technology Management, Research, Science and Technology Policy
- Master Thesis
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Background:
The Laboratory of Orthopedic Technology has recently developed a novel joint implant and is undergoing optimization of the manufacturing process. We are looking for a master's student who is passionate about medical devices and mechanical design to join us for a semester project.
Objectives:
• Design different molds for material casting using SolidWorks or Fusion 360.
• Optimize implant using matlab or Python.
• Utilize 3D printing or laser cutting to create the molds.
• Conduct mechanical tests on the implants.
Your Profile:
• Strong knowledge in mechanical design and drawing skills.
• Hands-on and detail-oriented.
• Experience with SolidWorks or Fusion 360, as well as Python or Matlab.
Timeframe:
Starting ASAP until the end of September.
- CAD/CAM Systems, Flexible Manufacturing Systems, Mechanical Engineering, Polymers
- ETH Zurich (ETHZ), Semester Project
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Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
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Reinforcement learning (RL) can potentially solve complex problems in a purely data-driven manner. Still, the state-of-the-art in applying RL in robotics, relies heavily on high-fidelity simulators. While learning in simulation allows to circumvent sample complexity challenges that are common in model-free RL, even slight distribution shift ("sim-to-real gap") between simulation and the real system can cause these algorithms to easily fail. Recent advances in model-based reinforcement learning have led to superior sample efficiency, enabling online learning without a simulator. Nonetheless, learning online cannot cause any damage and should adhere to safety requirements (for obvious reasons). The proposed project aims to demonstrate how existing safe model-based RL methods can be used to solve the foregoing challenges. - Engineering and Technology
- Master Thesis
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Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
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The objective of this project is to create a comprehensive robotic platform capable of autonomously administering injections into the human eye. The project includes mechanical design, motion planning, and the implementation of a force control algorithm. - Mechanical and Industrial Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
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Bühler, a leading industry manufacturer in Uzwil, is partnering with ETH Zürich's Feasibility Lab to offer a unique master thesis opportunity. Throughout your thesis, you'll work hand-in-hand with a team of like-minded peers, following the principles of cross-functional teamwork and agile project planning. You can explore your interests in AI/Machine Learning, Robotics, UX, Additive Manufacturing, Food Science and more and actively define your own project scope. - Digital Systems, Environmental Technologies, Industrial Biotechnology and Food Sciences, Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
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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
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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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