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About

Riccardo Bartalucci is a robotics researcher whose work sits at the intersection of human motor control, rehabilitation engineering, and autonomous motion planning. His primary contributions lie in developing intelligent trajectory generation algorithms for robot-aided neurorehabilitation, where he has pioneered methods to mimic natural human movement patterns. His most cited work, "A new bounded jerk on-line trajectory planning for mimicking human movements in robot-aided neurorehabilitation" (33 citations), introduces a framework that ensures smooth, biomimetic motion—critical for patient safety and effective therapy. Bartalucci also advanced human-robot interaction by proposing a gaze-tracking guidance mode for upper limb rehabilitation (8 citations), an innovative approach that uses eye movements as a hands-free control interface for motor-impaired individuals. Beyond rehabilitation, his work on motion planning for 3D-Dubins vehicles with distance constraints (7 citations) demonstrates versatility in addressing complex multi-agent coordination problems. His research on visually guided reaching through the L-Exos exoskeleton (9 citations) further underscores his commitment to integrating sensory feedback into robotic assistance. With a portfolio that bridges assistive robotics and theoretical motion planning, Bartalucci has laid foundational work for more intuitive, human-centered robotic systems in clinical and autonomous applications.