Segmentation of endpoint trajectories does not imply segmented control

By Dagmar Sternad, Stefan Schaal. 1999

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Citations in the corpus

Dynamics systems vs. optimal control--a unifying view. (2007, background): “Some mathematical analysis of the power law and the kinematic structure of human arms could finally establish that the power law can be interpreted as an epiphenomenon of oscillatory movement generation: as long as movement patterns are small enough, the power law holds, while for large size pattern”
Motor primitives in vertebrates and invertebrates. (2005, background): “Current Opinion in Neurobiology 2005, 15:1–7 phenomenon of trajectory optimization, rather than a reflection of an underlying segmented control [33,34].”
Models of human movement: Trajectory planning and inverse kinematics studies (2013, unknown): “However, movement segmentation based on the existence of a piecewise constant velocity gain factor may reflect trajectory optimization rather than segmented control strategies [20,27].”
Three-dimensional arm movements at constant equi-affine speed. (2009, unknown): “Such suggestions have been based on an implementation of equilibrium point control (Gribble and Ostry, 1996) and purely sinusoidal control (Sternad and Schaal, 1999).”
Dynamic Movement Primitives -A Framework for Motor Control in Humans and Humanoid Robotics (2006, unknown): “size patterns the law breaks down [51, 52].”
Combining Dynamical Systems control and programming by demonstration for teaching discrete bimanual coordination tasks to a humanoid robot (2008, background): “PbD operates at different levels of the task representation: from copying low-level features of the motion [1, 4, 23] to inferring the user’s intention and using a symbolic representation [6, 19].”
Parabolic movement primitives and cortical states: merging optimality with geometric invariance (2009, background): “(Gribble and Ostry 1996) or the effects of non-linear forward kinematic transformations (Sternad and Schaal 1999; Schaal and Sternad 2001; Dounskaia 2007).”
Computational approaches to motor learning by imitation. (2003, unknown): “(e.g. Arbib 1981; Sternad & Schaal 1999; Sutton et al. 1999; Dautenhahn & Nehaniv 2002).”