Mattia Bertuletti

Papers

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About

Mattia Bertuletti is a researcher at the forefront of human-robot collaboration, with a primary focus on maximizing robotic performance while ensuring strict adherence to safety regulations. His most influential work, "A Control Barrier Function Approach for Maximizing Performance While Fulfilling to ISO/TS 15066 Regulations" (2020, 79 citations), directly addresses a critical industry challenge: the conservative, low-velocity behavior of robots when following global safety guidelines. By applying control barrier functions, Bertuletti’s approach enables robots to operate at higher speeds and with greater efficiency without violating ISO/TS 15066 standards, bridging the gap between safety and productivity. This contribution has significant implications for the design of collaborative robotic cells in manufacturing. Additionally, his work on "High-velocity walk-through programming for industrial applications" (2022) explores intuitive, speed-enhanced programming methods, further pushing the boundaries of practical human-robot interaction. Bertuletti’s research is essential reading for engineers and researchers seeking to balance rigorous safety compliance with the demand for high-performance automation.