Swiss Startup Developing UV Disinfection Robot for Offices and Commercial Spaces

When Rovenso’s co-founder and CEO Thomas Estier started thinking about how autonomous security and monitoring robots could be helpful during the COVID-19 pandemic, adapting them for UV-C disinfection seemed like it made a lot of sense—while you patrol at night, why not also lower the viral load of shared areas? But arguably the first question that a company has to ask when considering a new application, Estier tells us, is whether they can offer something unique. “For me, what was also interesting is that the crisis motivated us to consider existing solutions for disinfection, and then understanding that [those solutions] are not adapted for large workshops and offices,” he says. “Instead, it would make sense for a robot to ‘understand’ its environment and act intelligently and to better spend its energy, and this loop of sense-analyze-act is the essence of robotics. When you use the full power of robotics, then you Continue reading Swiss Startup Developing UV Disinfection Robot for Offices and Commercial Spaces

Machine-learning tool could help develop tougher materials

For engineers developing new materials or protective coatings, there are billions of different possibilities to sort through. Lab tests or even detailed computer simulations to determine their exact properties, such as toughness, can take hours, days, or more for each variation. Now, a new artificial intelligence-based approach developed at MIT could reduce that to a matter of milliseconds, making it practical to screen vast arrays of candidate materials. The system, which MIT researchers hope could be used to develop stronger protective coatings or structural materials — for example, to protect aircraft or spacecraft from impacts — is described in a paper in the journal Matter, by MIT postdoc Chi-Hua Yu, civil and environmental engineering professor and department head Markus J. Buehler, and Yu-Chuan Hsu at the National Taiwan University. The focus of this work was on predicting the way a material would break or fracture, by analyzing the propagation of Continue reading Machine-learning tool could help develop tougher materials