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Chapter 2. Prehension

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<strong>Chapter</strong> 5 - Movement Before Contact 201<br />

of the movement. It is suggested here that orienting and positioning<br />

the palm seems to be crucial to prehension. From the reaching<br />

perspective, the arm muscles get the palm into a ballpark of its final<br />

location. From a grasping perspective, the fingers can preshape into a<br />

suitable posture, based on the assumption that the palm will be aligned<br />

correctly. Fine tuning can then occur during the second phase of the<br />

movement, where the orientation of the palm is fine-tuned by wrist,<br />

elbow, and shoulder muscles, while the fingers close in around the<br />

object. Feedback mechanisms can then overcome errors in perception<br />

during this second phase of the movement.<br />

The level of the motor command is uncertain. Models have sug-<br />

gested how it occurs at the joint angle level, joint torque level, and<br />

muscle level. When starting from a goal location specified in a world<br />

or body coordinate frame, an important computation is to transform<br />

that goal into one of these motor levels. Computations may proceed in<br />

an orderly fashion (Step 1 --> Step 2 --> Step 3) as Uno et al. (1989)<br />

outlined. From a biological perspective, this is inefficient. Alternatives<br />

are to compute motor commands more directly (Steps 4 or 5) or also to<br />

plan in joint space (Step 1’). Whether the computation is inverse<br />

kinematics or inverse dynamics, it is an ill-posed problem. Cost<br />

functions and/or constraint satisfaction networks suggest ways to limit<br />

the computation towards selecting a unique solution. Of course, the<br />

CNS never seems to have a unique solution, evidenced by the issue of<br />

motor equivalence and also of the exhibited variability. Thinking about<br />

the sensory side as a distributed representation (e.g., combining two<br />

dimensional with three dimensional information and perhaps even<br />

velocity cues, etc.) may shed light on the motor side: it too could be a<br />

distributed computation involving many levels of sensory<br />

reprentations and motor commands. Arbib’s coordinated control<br />

program is a first step in this direction.<br />

The CNS allows parallel and redundant processing of sensory in-<br />

formation for motor control. While sensory information (given a<br />

modality and sub-modality as well) is needed at crucial times for<br />

completion of a motor task, there are many ways that it can solve<br />

problems. In the 1990s, it is still not possible to distinguish the kine-<br />

matic features in reaching and grasping movements attibutable to<br />

supraspinal planning processes, spinal circuitry or the inevitable con-<br />

sequence of musculoskeletal mechanics. The CNS seems to find<br />

simple solutions out of its multi-faceted repertoire of possible modes<br />

of interacting with the environment.

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