Max Robotics — Global Service Robot Directory + US Certification

About

Pau Vial is a robotics researcher specializing in autonomous navigation for underwater and ground vehicles, with a focus on simultaneous localization and mapping (SLAM), inertial navigation, and sensor fusion. His major contributions include developing a pose SLAM system for underwater vehicles using Gaussian mixture model (GMM) scan matching with mechanical profiling sonars, and introducing a kinematic/dynamic SLAM approach for autonomous vehicles that leverages linear parameter varying (LPV) models to account for vehicle mass and velocity effects—a critical advancement over traditional kinematic-only methods. Vial has also advanced inertial navigation by proposing Lie group-based IMU and linear velocity preintegration that compensates for Earth rotation, and by creating MINS, a tightly coupled multibeam echosounder-inertial navigation system for real-time 3D bathymetric inspection. His work on multimodal underwater graph SLAM integrates IMU, DVL, and sonar data for robust AUV localization. With over 36 citations across his most-cited papers (including 11 for his 2023 SLAM work), Vial’s research is foundational for deep-sea exploration, as evidenced by his 2025 paper on interconnected robotic platforms for ecological restoration. His achievements demonstrate a rare blend of theoretical rigor and practical deployment in extreme environments.