A single destination for timely, editor-curated robotics news from around the world.
I-care Group has announced the acquisition of Amiral Technologies' assets, including its DiagFit technology, on September 17. This AI system is designed to detect equipment anomalies without relying on historical failure data, allowing for advanced analysis of complex equipment behavior. DiagFit can...
Many predictive maintenance initiatives in robotics face a common hurdle: after installing sensors and training models, progress often halts. The anomaly score generated by these systems does not equate to actionable decisions, leading to a gap in the maintenance process. Without a technician assign...
Predictive maintenance is transforming asset management by integrating machine learning, AI, and failure analysis. Historically, maintenance relied on scheduled strategies, often leading to unnecessary overhauls. The shift to informed preventive maintenance, utilizing route-based vibration data, has...
maxon has introduced maxon MIND, a solution designed to elevate condition monitoring and predictive maintenance by analyzing data from machine controllers. This innovative system uses machine learning to detect patterns indicative of wear or malfunctions, transforming motors into effective sensors f...
Matt Bernhard from TwinThread and Michael Cooper from Rockwell Automation recently discussed the transformative potential of predictive maintenance in a session aimed at industry professionals. The event, held in October 2023, focused on practical strategies for organizations looking to implement pr...
Recent research highlights that the primary challenge in industrial predictive maintenance is not the inaccuracy of models, but rather the ineffective transition from anomaly detection to actionable response. The study proposes a new integration architecture designed to link machine learning-based a...
A recent report highlights the critical role of AI-based predictive maintenance in enhancing operational efficiency across various industries. This innovative approach relies on timely and accurate data to monitor the condition of assets automatically. By implementing automated asset condition monit...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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