Abstract
Though the drivers of human arm motion are subject to various interpretations, the patterns observed in such motions are quite general (as examined in Chap. 9). The factors that influence these patterns (such as gravity and muscle strength) may be regarded as functions of the spatial start and end points of motion. Indeed, reaching motions of the human arm are defined by achieving these spatial ’A-to-B’ movements.
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References
Atkeson C, Hollerbach J (1985) Kinematic features of unrestrained vertical arm movements. J Neurosci 5(9):2318
Breazeal C (2004) Designing sociable robots. MIT Press, Cambridge
Charles S, Hogan N (2010) The curvature and variability of wrist and arm movements. Exp Brain Res 203(1):63–73
De Sapio V, Warren J, Khatib O, Delp S (2005) Simulating the task-level control of human motion: a methodology and framework for implementation. Vis Comput 21(5):289–302
Flash T (1987) The control of hand equilibrium trajectories in multi-joint arm movements. Biol Cybern 57(4):257–274
Harris C (2009) Biomimetics of human movement: functional or aesthetic? Bioinspiration Biomim 4:033001
Park G, Ra S, Kim C, Song J (2008) Imitation learning of robot movement using evolutionary algorithm. In: Proceedings of the 17th IFAC work congress, Seoul
Roach NT, Venkadesan M, Rainbow MJ, Lieberman DE (2013) Elastic energy storage in the shoulder and the evolution of high-speed throwing in homo. Nature 498(7455):483–486
Todorov E, Jordan M (2002) Optimal feedback control as a theory of motor coordination. Nat Neurosci 5(11):1226–1235
Uno Y, Kwato M, Suzuki R (1989) Formation and control of optimal trajectory in human multijoint arm movement. Biol Cybern 26:109–124
Verdaasdonk B, Koopman H, van der Helm F (2009) Energy efficient walking with central pattern generators: from passive dynamic walking to biologically inspired control. Biol Cybern 101(1):49–61
Wolpert D, Ghahramani Z, Jordan M (1994) Perceptual distortion contributes to the curvature of human reaching movements. Exp Brain Res 98(1):153–156
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Spiers, A., Khan, S.G., Herrmann, G. (2016). Neural Network Motion Learning by Observation for Task Modelling and Control. In: Biologically Inspired Control of Humanoid Robot Arms. Springer, Cham. https://doi.org/10.1007/978-3-319-30160-0_10
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DOI: https://doi.org/10.1007/978-3-319-30160-0_10
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