“Crowd Sensing, Crush Prevention”, Presented by Vassilis Zachariadis, CSIC, University of Cambridge

Our public transport infrastructure has never been busier, with ever-increasing demand and pressure. High concentrations and volumes of people in public transport stations during rush hours pose significant risks to passenger safety and hinder optimised use of the available system. Ahead-of-time prediction of passenger flows has the potential to provide asset managers with the ability to foresee emergent congestion and and other unexpected interruptions and allow them sufficient time to act early, mitigate the impact of excessive demand and improve passenger safety and comfort. Continue reading ““Crowd Sensing, Crush Prevention”, Presented by Vassilis Zachariadis, CSIC, University of Cambridge”

“Making Visible the Invisible”, a Presentation by Jules Birks and Vanessa Di Murro, CSIC, University of Cambridge

Sometimes the data we gather from a site provides information that is so complex it’s hard to interpret. Occasionally, it can also throw up information we weren’t expecting. That’s fine when we know what we’re looking at, and have the expertise to interpret the information before us, but what happens when it’s left to other site staff to keep an eye on things? Continue reading ““Making Visible the Invisible”, a Presentation by Jules Birks and Vanessa Di Murro, CSIC, University of Cambridge”

Heba Bevan, CSIC, University of Cambrige, Presents: “Little Sensors, Big Data”

When it comes to sensing, scope, cost and access have long been a problems facing engineers in the field. So, the aim was to develop a tool that was genuinely needs-led. The development process for UtterBerry took that needs-led approach – How can we make it tiny? Use virtually no energy? Make it last? Make it really meaningful? Make it affordable? Make it – quite literally – stick? Continue reading “Heba Bevan, CSIC, University of Cambrige, Presents: “Little Sensors, Big Data””

The Origin of (Robot) Species: Evolution by Natural Selection in Robots (Video)

Researchers have observed the process of evolution by natural selection at work in robots, by constructing a ‘mother’ robot that can design, build and test its own ‘children’, and then use the results to improve the performance of the next generation, without relying on computer simulation or human intervention. Continue reading “The Origin of (Robot) Species: Evolution by Natural Selection in Robots (Video)”