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About

Emanuele Luberto is a robotics researcher whose work centers on humanoid robotics, soft manipulation, and sensor-based control for real-world applications. His major contributions include developing low-cost, accurate methods for reconstructing robotic and human postures using inertial measurement units (IMUs), as detailed in his most-cited paper (55 citations), which eliminates the need for joint-angle sensors. He also played a key role in the WALK-MAN robot project, demonstrating its effectiveness in post-earthquake scenarios (36 citations), highlighting his focus on disaster-response robotics. Luberto advanced adaptive grasping through a sensor-based reflex mechanism (9 citations), enabling soft robotic hands to autonomously conform to unknown objects, and explored soft robotics for autonomous warehouse picking (4 citations). His work on the Pisa/IIT SoftHand (2 citations) further underscores his expertise in compliant, safe manipulation. With a total of over 100 citations, Luberto’s research bridges theoretical innovation and practical deployment, making significant strides in making robots more adaptable, resilient, and capable in unstructured environments—from disaster zones to industrial settings.