Cristian Tatino
Papers
4
Total Citations
30
H-Index
3
About
Cristian Tatino is a researcher specializing in the intersection of wireless communications and robotics, with a particular focus on millimeter-wave (mm-wave) technologies for industrial automation. His work addresses one of the defining challenges of Industry 4.0: enabling reliable, high-performance wireless connectivity for multi-robot systems as an alternative to costly wired networks. Tatino's most influential contribution, "Multi-Robot Association-Path Planning in Millimeter-Wave Industrial Scenarios" (2020), has garnered 14 citations and tackles the complex problem of coordinating robot path planning with network association in dense mm-wave deployments — a critical challenge given mm-wave's characteristically spotty coverage. Building on this foundation, his subsequent research has explored the integration of Intelligent Reflective Surfaces (IRS) to enhance mm-wave communications for robotic systems. His 2021 paper on IRS-assisted trajectory and beamforming joint optimization earned 9 citations, demonstrating how robots can minimize motion energy consumption while satisfying strict quality-of-service (QoS) constraints. Across his body of work, Tatino consistently bridges wireless communication theory and practical robotics applications, offering optimization frameworks that balance mobility, energy efficiency, and communication reliability — making his research highly relevant for engineers and academics designing the wireless infrastructure of tomorrow's smart factories.
Research Focus
Key Achievements
Top Papers
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