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Reaching & Grasping Summary of points for WS04 – from Weiss & Jeannerod (1998) Nature of the problem • How do we control multiple DoF (degrees of freedom) within this motor task that requires a reach and grasp... – involves torso, shoulder, upper arm, lower arm, hand, fingers all coordinated together to stretch out to a target, close around it and lift it • Could be a problem of getting to the end position (system seeks control of end posture) • Could be a problem of the way we move to the end position (system seeks control of trajectory) Nature of the problem • Research looks at time – Limb segments organized in terms of timing of muscle contractions • Research looks at synergies – Muscle contractions are repeatedly activated together within practiced movements, thus forming “joint systems” that come together at the level of the movement (coordinative structures) – Thus movements might be planned at the level of these synergies (Bernstein, 1967) – This is probably reflected by the formation of neural networks accompanying the specific joints in the movement Nature of the problem • Viability of these solutions is examined by creating models based on these assumptions and seeing whether they match up to people’s movement behaviors • Several such models have been tested... Some controversy • Model 1: – Movement planned via movement of hand through space (Hogan & Flash, 1987) – predicts flat trajectory • Model 2: – Movement planned as series of joint configurations – predicts curved trajectories • Overall, seems to depend on the task – we use both kinds of trajectories. Simplifying the problem • Freezing degrees of freedom – When the target position varies, only some parts of the movement are changed. Others remain the same – implying that we tend to only change aspects of a movement when we have to...simplifying the coordination issue. Underlying representations • One view suggests we memorize stored final postures, in terms of stiffness of muscles required for particular positions. – Movements then consists of simply “gliding” to that final stiffness of the muscles, and hence the final posture. Underlying representations • Another view points out that the nature of movement is not consistent with this, and instead suggests that the memory includes information about future task intention – think of how you grasp a door handle, and how the grasp changes depending on whether you want to twist the handle clockwise or anti-clockwise More on representations • Representation = feedforward control – Something that can start a movement and anticipate the feedback that it will generate (based on past experience), using this to drive further movement. – Seems to be localized in the cerebellum – Seems to rely on updating through proprioception in order to continually control multi-joint movements (with the implied awkward set of torques involved)