Harsh field tests shape robotic design in unexpected ways

When the BBC commissioned two reptilian robots from the EPFL BioRob lab for a documentary on the African wilderness in 2016, the researchers could not have predicted how testing the devices in uncontrolled environments would change their approach to robotic design.

Machine learning enables viability of vertical-axis wind turbines

EPFL researchers have used a genetic learning algorithm to identify optimal pitch profiles for the blades of vertical-axis wind turbines, which despite their high energy potential, have until now been vulnerable to strong gusts of wind.

Robotic interface masters a soft touch

EPFL researchers have developed a haptic device capable of reproducing the softness of various materials, from a marshmallow to a beating heart, overcoming a deceptively complex challenge that has previously eluded roboticists.

Hydropower is a cornerstone of renewable energy

22 March was the World Water Day. Water power has so much more to offer. Engineers are working hard to both expand this form of clean energy and make better use of existing hydropower plants

3D images reveal link between crack complexity and material toughness

By capturing a rare glimpse into three-dimensional crack formation in brittle solids, EPFL researchers have found that complex cracks require more energy to advance than simple ones; a discovery that could improve materials testing and development.

Artificial nanofluidic synapses can store computational memory

In a step toward nanofluidic-based neuromorphic – or brain-inspired – computing, EPFL engineers have succeeded in executing a logic operation by connecting two chips that use ions, rather than electrons, to process data.