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Science (American Association for the Advancement of Science), 2020-11, Vol.370 (6518), p.768-769
Ort / Verlag
United States: The American Association for the Advancement of Science
Erscheinungsjahr
2020
Link zum Volltext
Quelle
Science Online_科学在线
Beschreibungen/Notizen
Challenges for instrumenting robotic hands to match human performance are outlined
Human hands are densely covered with touch receptors called mechanoreceptors that provide us the sense of touch. This continuous tactile feedback from objects we touch, and information on hand articulation and movement —called proprioception—enable us to effortlessly handle diverse objects with fine dexterity. Bell's prescient treatise on the hand, written in 1833, refers to the human hand as the “consummation of all perfection as an instrument” ( 1 ). This sentiment echoes stronger today, in part fueled by the steep challenge of effectively instrumenting a robotic hand to provide similar feedback with the goal of attaining human-level dexterity. Recent insights into the primate tactile system and advances in machine learning (ML) may offer new prospects for tackling this old robotics challenge.