IntelliMan_WP5_Grasping, Manipulation and Arm-Hand Coordination_T5.1_Data fusion and sensing technology_Sciencerobotics2023

Science Robotics 2026 Open access

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Authors: Lucia Seminara, Strahinja S. Dosen, Fulvio Mastrogiovanni, Matteo Bianchini, Simon watt, Philipp Beckerle, Thrishantha Nanayakkara, Knut Drewing, Alessandro Moscatelli, Roberta L. Klatzky, Gerald Eli Loeb
DOI: 10.5281/zenodo.18789758
Cited by: 0

Abstract

Human manual dexterity relies critically on touch. Robotic and prosthetic hands are much less dexterous and make little use of the many tactile sensors available. We propose a framework modeled on the hierarchical sensorimotor controllers of the nervous system to link sensing to action in human-in-the-loop, haptically enabled, artificial hands.

Fields of Study & Subjects

Robot Manipulation and Learning Motor Control and Adaptation Teleoperation and Haptic Systems

Publication details

Journal / source
Science Robotics
Publication date
26 February 2026
Language
EN