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

• Published in: Frontiers in neurorobotics Vol. 11; p. 9
• Main Authors: Knips, Guido, Zibner, Stephan K. U., Reimann, Hendrik, Schöner, Gregor
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 02.03.2017; Frontiers Media S.A
• Subjects: Arm; Automation; Cognition & reasoning; Grasping; Infants; International conferences; Internet; Motion detection; Neuroscience; Neurosciences; Robotics; Robots; Theory; Visual perception; neural dynamics; autonomous grasping; autonomous reaching; dynamic field theory; online 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...