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Faculty of Mechanical Engineering.
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The third dimension in tissue culture
After two life-changing moves, Angelo Accardo is now exactly where he wants to be. He is developing engineered nanoscaffolds, in which human tissue can grow as in nature. It opens up a world of applications for neural disease modelling.
Shelf-stocking robot working independently
A robot that helps store employees by moving independently through the supermarket and shelving products in their proper place. According to researcher Carlos Hernández Corbato of the Department of Cognitive Robotics, this may be possible in the future. But the robot must be able to adapt to the dynamic and challenging conditions in a supermarket.
Obstacles no problem for smart robots
Robots that safely navigate busy corridors to deliver medicines to nurses. And drones that manoeuvre around people, rubbish bins and poles without smashing things up. This is possible thanks to the mod-els developed by researcher Javier Alonso-Mora from the 3mE faculty.
In search of the plastic soup
To better understand the whereabouts of floating plastic soup, you need to investigate how the water moves at different depths. Angeliki Laskari, researcher of Multiphase Systems at TU Delft, therefore studies fluid dynamics, the science of the movement and flow of water. Her ultimate goal is to help predict how plastic spreads in water.
Nature inspires new materials
Creating new materials by learning from nature. That’s what Mohammad J. Mirzaali is working on. He looks specifically at hard and soft transitions, which connect a hard bone to a piece of soft tissue in our bodies, for example.
Using smart technology to make fuel out of CO2
Too much CO2 in the air is currently causing a major problem: climate change. If it were up to Peyman Taheri, researcher at Materials Science and Engineering at TU Delft, we would be making smart use of surplus CO2 by converting it into a new fuel. A fuel that could power factories and send cars hurtling down the motorway.
Hit the roads safely with autonomous vehicles
When the time comes for autonomous cars to hit the roads, they’ll have to take other road users into account. For example, they’ll need to stop when a cyclist abruptly turns. Laura Ferranti is studying how this can be best achieved. Even when roads are packed with traffic.
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