Max Robotics — Global Service Robot Directory + US Certification

About

Enrico Piazza is a robotics researcher whose work centers on real-time 3D mapping, SLAM performance modeling, and benchmarking for service robots. His most impactful contribution is a CPU-based large-scale 3D mesh reconstruction system (44 citations), which enables real-time environmental mapping on constrained hardware—a critical capability for autonomous driving and mobile robotics. This work addresses the challenge of running dense mapping algorithms without specialized GPUs, making it practical for embedded systems. Piazza also advances robotic evaluation through his leadership in scientific competitions (15 citations), developing systematic benchmarking methodologies for domestic service robots that assess people perception, following, and pick-and-place tasks. His performance modeling research (6 citations) provides frameworks for predicting SLAM system behavior across varying hardware configurations and environments. As a member of the SocRob team, he contributed to award-winning domestic robot platforms that demonstrate integrated functionality. Piazza’s work bridges the gap between theoretical robotics and practical deployment, offering tools and benchmarks that help researchers and engineers build more reliable, real-world autonomous systems.