Claudio Massucco

Papers

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About

Claudio Massucco’s research bridges mobile robotics and real-time multimedia processing, with a focus on autonomous navigation and intelligent control systems. His most cited work, “Multi-level navigation using active localization system” (2002), introduces a layered architecture for industrial Automated Guided Vehicles (AGVs), integrating high-level mission planning, real-time trajectory generation, and motion control. This approach enhances navigation robustness by combining active localization with hierarchical decision-making, offering an alternative to traditional wire-guide systems. The paper has garnered 8 citations, reflecting its relevance in robotics and automation. Earlier, Massucco contributed to “Multi-paradigm software environment for the real-time processing of sound, music and multimedia” (1994), which explores flexible software frameworks for audio and multimedia applications. This work, with 4 citations, demonstrates his versatility in applying real-time computing principles across domains. Massucco’s research is notable for its practical orientation, addressing challenges in industrial automation and creative technologies. His contributions provide foundational insights for students and researchers interested in autonomous systems, sensor fusion, and real-time software architectures.