M. Guerrini

Papers

Total Citations

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About

M. Guerrini’s research lies at the intersection of robotics, sensory-motor perception, and adaptive control, with a focus on developing biologically inspired systems for autonomous manipulation. Their most cited work, “Implementing robotic grasping tasks using a biological approach” (2002, 20 citations), introduces a framework that enables robots to autonomously discover relationships between perceptual data and motor actions—a critical capability for robust operation in dynamic, unstructured environments. This work emphasizes tactile perception and contact sensing, advancing how robots learn to grasp and interact with objects without explicit programming. In a complementary study, “Model and implementation of an anthropomorphic system for sensory-motor perception” (2002, 5 citations), Guerrini proposes a general architecture for artificial perception in personal robots, implementing a subset dedicated to grasping and manipulation. Using an anthropomorphic sensory system, they demonstrate how human-like perception can guide robotic hand control. Though their citation counts are modest, Guerrini’s contributions are notable for pioneering a biologically grounded approach to robotic autonomy, offering foundational insights for students and researchers exploring adaptive robotics, tactile sensing, and sensory-motor learning. Their work remains a touchstone for those seeking to bridge neuroscience and engineering in embodied AI.