Rafael Puerto

Papers

Total Citations

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About

Rafael Puerto is a roboticist dedicated to making autonomous systems more accessible, safe, and intelligent. His research spans three critical areas: assistive robotics for people with disabilities, fault-tolerant control for underactuated robots, and learning-based autonomous grasping. In his most cited work (16 citations), Puerto developed a modular mobile robotic platform designed to help elderly and disabled individuals perform daily living activities independently—a practical contribution to the growing field of socially assistive robotics. He has also tackled the dangerous problem of free-swinging joint failures in robots, proposing a novel method to "shrink" the manifold of uncontrolled motion, thereby enhancing safety in critical applications. Earlier, Puerto explored robot grasp learning through demonstration, using pattern recognition to match new objects with stored examples without relying on predefined rules—a flexible approach that reduces the need for manual programming. His work bridges the gap between theoretical robotics and real-world deployment, with a clear focus on human-centered applications. As the field moves toward more autonomous and resilient systems, Puerto’s contributions to safe, adaptive, and assistive robotics position him as a researcher to watch.