Below is a robot developed by The Clueless #11212 FIRST Tech Challenge team, based in San Diego, California, USA. The current team is made up of 14 members from 8 middle/high schools across the San Diego area and competes in the FIRST Tech Challenge (FTC) program. Over its 10-year existence, the team has achieved many successes in […]

Although collaborative robots have become widely available and used in numerous industries, the professionals who design them frequently encounter and must overcome various challenges in cobot design. How should designers address them?

Claire chatted to Christine Evers from University of Southampton about helping robots understand the world around them through sound.

Christine Evers is an Associate Professor in Computer Science and Director of the Centre for Robotics at the University of Southampton. Her research pushes the boundaries of machine listening, enabling robots to make sense of life in sound. Her current focus is embedding our understanding of the human auditory process into deep-learning audio architectures. This bio-inspired approach moves away from massive, internet-scale models toward compute-efficient and inherently interpretable systems – opening the door to a new generation of embodied auditory intelligence.