M. Magrassi

Papers

Total Citations

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About

M. Magrassi is a robotics and computer vision researcher whose work has made meaningful contributions to the field of autonomous mobile robot navigation. Specializing in stereo vision systems and real-time obstacle avoidance, Magrassi's research focuses on enabling robots to perceive and navigate complex, unknown environments with minimal human intervention. Working out of the DIST-University of Genoa, their early contributions in the early 1990s laid important groundwork in multilevel control architectures for vision-based navigation, exploring how robots could detect obstacles, identify free corridors, and operate intelligently in indoor settings using onboard CCD camera arrays. Magrassi's most impactful work, "A stereo vision system for real time obstacle avoidance in unknown environment" (2002), has garnered 47 citations, reflecting its lasting relevance to the robotics community. This paper demonstrated a practical integration of stereo vision algorithms within a subsumption architecture framework — a biologically inspired approach to robot control — enabling robust, real-time environmental awareness. Across their body of work, Magrassi consistently bridges theoretical frameworks with practical implementation, making their research particularly valuable for engineers and students working on autonomous systems, computer vision, and intelligent robot navigation.