2 papers
cs.RO2026
FARM: Reading Failure Signals from the Internal Predictive States of a Frozen Robotic World Model
Haoran Pei, Mingrui Luo, Senbao Wang +4
Reliable robot deployment requires online failure monitoring, yet existing monitors mainly derive risk from proxy signals or train dedicated monitoring components. We ask whether t…
eess.SP2025
Scalable, Technology-Agnostic Diagnosis and Predictive Maintenance for Point Machine using Deep Learning
Eduardo Di Santi, Ruixiang Ci, Clément Lefebvre +5
The Point Machine (PM) is a critical piece of railway equipment that switches train routes by diverting tracks through a switchblade. As with any critical safety equipment, a failu…