Episode 76: Robots on the railways - Andrew Starr
Andrew Starr, Professor of Maintenance Systems at Cranfield University, discusses the application of robotics in industrial maintenance and railway inspection. He details his early work at Ford monitoring car assembly robots for positioning errors and component degradation, highlighting the limitations of pure data-driven AI in predicting physical failures like corrosion. Starr then describes the development of autonomous railway inspection robots, from small-scale Arduino models to a full-sized Clearpath Warthog UGV and a retrofitted proprietary track trolley, emphasizing the challenges of GPS denial in tunnels and the necessity of data fusion.