Human arm trajectory formation.

By W. Abend, Emilio Bizzi, P. Morasso. 1982

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Citations in the corpus

Dynamics systems vs. optimal control--a unifying view. (2007, background): “Since Morasso’s and his co-workers’ seminal work in the early 1980ies (Morasso 1981; Abend et al. 1982; Morasso 1983), a large amount of focus has been given to”
Segmentation of endpoint trajectories does not imply segmented control (1999, background): “While these results speak to segmentation into linear or planar strokes of the endpoint trajectory (see also Abend, Bizzi, and Morasso, 1982; Flash and Hogan, 1985), the fact that linearity of the endpoint trajectory is an unequivocal sign for extrinsic planning was questioned by Hollerbach (1987).”
Terrain-adaptive bipedal locomotion control (2010, background): “Planning for key trajectories and a separate compliant control that follows the trajectories is a particularly flexible control structure that is possibly not far off from the strategies that natural systems use [Abend et al. 1982].”
Generalization of human grasping for multi-fingered robot hands (2012, result): “This insight corresponds to the results in [1] , which showed that Fig.”
The coordination of arm movements: an experimentally confirmed mathematical model (1985, methodology): “As this example demonstrates, the predicted trajectories display the majority of the observed features of real curved hand trajectories as discussed by Abend et al. (1982).”
Evidence for a dynamic-dominance hypothesis of handedness (2001, background): “Numerous studies have examined the mechanisms underlying trajectory specification (Rosenbaum 1980; Abend et al. 1982; Bizzi et al. 1982, 1984; Hasan 1986; Bizzi 1987; Massone and Bizzi 1989; Favilla et al. 1990; Kawato et al. 1990; Wolpert et al. 1995a; Gottlieb et al. 1996; Bhushan and Shadmehr…”
An organizing principle for a class of voluntary movements (1984, methodology): “The minimum-jerk criterion function is also capable of predicting the major features of more complex voluntary behavior such as the trajectory of the hand in a planar motion around a visually presented obstacle (Abend et al., 1982; Flash and Hogan, 1982; Flash, 1983).”
Geometrical Invariance and Smoothness Maximization for Task-Space Movement Generation (2016, methodology): “In Section VI, we discuss our MG algorithm and the potential of defining movement complexity through optimization criteria, such as the minimum jerk model [3], and based on geometrical invariance (which we introduced in the context of motor control in [2] and [25]).”