Literature DB >> 11303109

Planning reaching and grasping movements: the problem of obstacle avoidance.

J Vaughan1, D A Rosenbaum, R G Meulenbroek.   

Abstract

In this article, we review a model of the movement-planning processes that people use for direct reaching, reaching around obstacles, and grasping, and we present observations of subjects' repeated movements of the hand to touch 2 target locations, circumventing an intervening obstacle. The model defines an obstacle as a posture that, if adopted, would intersect with any part of the environment (including the actor himself or herself). The model finds a trajectory that is likely to bring the end-effector to the target by means of a one-or two- stage planning process. Each stage exploits the principles of instance retrieval and instance generation. In the first stage, a goal posture is identified, and the trajectory of a direct transition to that posture is tested for collision. If the direct movement has no collision, the movement to the target is immediately executed in joint space. If, however, the direct movement is foreseen to result in a collision, a second planning stage is invoked. The second planing stage identifies a via posture, movement through which will probably avoid the collision. Movement to and from the via posture is then superimposed on the main movement to the target so that the combined movement reaches the target without colliding with intervening obstacles. We describe the details of instance retrieval and instance generation for each of these planning stages and compare the model's performance with the observed kinematics of direct movements as well as movements around an obstacle. Then we suggest how the model might contribute to the study of movements in people with motor disorders such as spastic hemiparesis.

Entities:  

Mesh:

Year:  2001        PMID: 11303109     DOI: 10.1123/mcj.5.2.116

Source DB:  PubMed          Journal:  Motor Control        ISSN: 1087-1640            Impact factor:   1.422


  6 in total

1.  Extending Fitts' Law to three-dimensional obstacle-avoidance movements: support for the posture-based motion planning model.

Authors:  Jonathan Vaughan; Deborah A Barany; Anthony W Sali; Steven A Jax; David A Rosenbaum
Journal:  Exp Brain Res       Date:  2010-10-08       Impact factor: 1.972

2.  Upper limb muscle forces during a simple reach-to-grasp movement: a comparative study.

Authors:  N Louis; P Gorce
Journal:  Med Biol Eng Comput       Date:  2009-09-26       Impact factor: 2.602

3.  Bimanual comfort depends on how extreme either hand's posture is, not on which hand is in the more extreme posture.

Authors:  Kate M Chapman; David A Rosenbaum
Journal:  Psychol Res       Date:  2015-09-26

4.  Analytical-stochastic model of motor difficulty for three-dimensional manipulation tasks.

Authors:  Andrea Lucchese; Salvatore Digiesi; Carlotta Mummolo
Journal:  PLoS One       Date:  2022-10-19       Impact factor: 3.752

5.  End posture selection in manual positioning: evidence for feedforward modeling based on a movement choice method.

Authors:  Catherine L Elsinger; David A Rosenbaum
Journal:  Exp Brain Res       Date:  2003-07-25       Impact factor: 1.972

6.  Manual obstacle avoidance takes into account visual uncertainty, motor noise, and biomechanical costs.

Authors:  Rajal G Cohen; Jason C Biddle; David A Rosenbaum
Journal:  Exp Brain Res       Date:  2009-10-23       Impact factor: 1.972

  6 in total

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