Industrial robot maintenance is evolving from a reactive approach to a proactive, data-driven strategy.Predictive maintenance uses prognostic algorithms and sensor data to anticipate component failures and schedule interventions, minimizing downtime.Digital twins, virtual replicas of robots, enable virtual troubleshooting and training, optimizing maintenance procedures.Emerging technologies like augmented reality and collaborative robots further enhance technician capabilities and improve maintenance workflows.