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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
Published on: April 21, 2023
Does planning a different trajectory influence the choice of grasping points?
Dimitris Voudouris1, Eli Brenner, Willemijn D Schot
1Research Institute MOVE, Faculty of Human Movement Sciences, VU University, Van der Boechorststraat 9, 1081 BT, Amsterdam, The Netherlands. d.voudouris@fbw.vu.nl
Experimental Brain Research
|September 8, 2010
Summary
This study investigated if movement path influences grasping point selection. Results show grasping points are chosen independently of the movement path, suggesting pre-planning.
Area of Science:
- Human motor control
- Robotics and biomechanics
- Cognitive neuroscience
Background:
- Understanding how humans select grasping points is crucial for robotics and understanding motor control.
- Previous research has focused on static grasp planning, but the dynamic influence of movement paths remains unclear.
Purpose of the Study:
- To determine if the planned movement path affects the selection of digit contact points (grasping points) on an object.
- To investigate the temporal relationship between grasp planning and movement path planning.
Main Methods:
- Participants grasped objects of varying heights but consistent radii.
- Objects were placed at different table locations, necessitating varied movement paths.
- Grasping point selection was analyzed irrespective of the object's height and the resulting path.
Main Results:
- The selection of grasping points remained consistent across different object heights and locations.
- Movement paths varied significantly based on object height (curving around tall objects, moving over short ones).
- Grasping point selection was not influenced by the differing movement paths.
Conclusions:
- Grasping point selection appears to be independent of the planned movement path.
- This suggests that grasping points are selected prior to the planning of the movement trajectory.
- Findings have implications for understanding pre-motor planning and informing robotic grasp strategies.
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