A Neural Dynamic Architecture for Reaching and Grasping Integrates Perception and Movement Generation and Enables On-Line Updating

Reaching for objects and grasping them is a fundamental skill for any autonomous robot that interacts with its environment. Although this skill seems trivial to adults, who effortlessly pick up even objects they have never seen before, it is hard for other animals, for human infants, and for most au...

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Veröffentlicht in:	Frontiers in neurorobotics 2017-03, Vol.11, p.9-9
Hauptverfasser:	Knips, Guido, Zibner, Stephan K U, Reimann, Hendrik, Schöner, Gregor
Format:	Artikel
Sprache:	eng
Schlagworte:	Arm Automation Cognition & reasoning Grasping Infants International conferences Internet Motion detection Neuroscience Neurosciences Robotics Robots Theory Visual perception
Online-Zugang:	Volltext
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