Max Robotics — Global Service Robot Directory + US Certification

About

JV Miro’s research bridges robotics, non-destructive evaluation, and human-robot interaction, with a focus on critical infrastructure and assistive technologies. His work on **probabilistic modeling** for spatial data and **autonomous inspection systems** addresses pressing challenges in water main condition assessment. Miro’s most cited paper (2015, 6 citations) introduces a kernel-specific Gaussian process to predict pipe wall thickness maps, advancing 2.5D spatial modeling for infrastructure health monitoring—a method that integrates geostatistics and robotics to improve predictive maintenance. His 2018 paper (4 citations) describes a rapid-response robot for assessing cement-lined cast iron water mains during emergency repair windows, demonstrating real-world deployment for non-destructive inspection. Earlier, Miro explored human activity recognition (2010, 4 citations) using probabilistic models versus discriminative classifiers, applied to instrumented mobility aids to infer user intentions—a contribution to assistive robotics and behavioral analysis. Though his citation counts are modest, Miro’s work is notable for its **applied impact**: combining probabilistic machine learning with field robotics to solve practical problems in urban water systems and elder care. His research exemplifies how robotics can enhance safety and efficiency in critical infrastructure management.