Ultra-fast selection of grasping points

Voudouris, Dimitris; Smeets, Jeroen B. J.; Brenner, Eli

doi:10.1152/jn.00066.2013

Cited by 34 publications

(43 citation statements)

References 36 publications

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“…The rotation perturbations in Experiment 1 were similar to the conditions of Voudouris et al (2013) in that the shape of the target object was not perturbed. However, the expected change in grasp axis in our conditions varied depending on object shape (see Fig.…”

Section: Online Shape Processing For Graspingmentioning

confidence: 89%

“…Online adjustments in response to perturbations have been observed for the target position (e.g., Bridgeman et al 1979;Paulignan et al 1991a;Gentilucci et al 1992), hand position (Saunders and Knill 2003, 2004, target orientation (Desmurget and Prablanc 1997;Tunik et al 2005;Fan et al 2006;Voudouris et al 2013), and target size (Paulignan et al 1991b;Glover et al 2005;Hesse and Franz 2009;van de Kamp et al 2009;Karok and Newport 2010).…”

Section: Previous Studies Of Online Control Of Reaching and Graspingmentioning

confidence: 99%

“…A recent study by Voudouris et al (2013) demonstrated online adjustment to grasp points in response to perturbations of object orientation. Subjects reached to grasp either a cube or ball, which on perturbed trials was rotated by 12° during the movement.…”

Section: °Fmentioning

confidence: 99%

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Online processing of shape information for control of grasping

Chen

Saunders

2015

Exp Brain Res

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When picking up objects, we tend to grasp at contact points that minimize slippage and torsion, which depend on the particular shape. Normally, grasp points could be planned before initiating movement. We tested whether grasp points can be determined during online control. Subjects reached to grasp virtual planar objects with varied shapes. On some trials, the object was changed during movement, either rotated by 45° or replaced with a different object. In all conditions, grasp axes were well adapted to the target shape, passing near the center of mass with low force closure angles. On perturbed trials, corrective adjustments were detectable within 320 ms and were toward the same grasp axes observed on unperturbed trials. Perturbations had little effect on either kinematics or the optimality of final grasp points. Our results demonstrate that the visuomotor system is capable of online processing of shape information to determine appropriate contact points for grasping.

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Section: Online Shape Processing For Graspingmentioning

confidence: 89%

Section: Previous Studies Of Online Control Of Reaching and Graspingmentioning

confidence: 99%

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Online processing of shape information for control of grasping

Chen

Saunders

2015

Exp Brain Res

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“…If a cube that one wants to grasp rotates during the reach-to-grasp movement, the hand follows the cube's rotation with a latency of about 115 ms (Voudouris et al, 2013), without response selection. However, if the cube is rotated in such a way that by following its rotation with one's hand one would end up in an awkward grasping posture, subjects do select new grasping points.…”

Section: Movement Selectionmentioning

confidence: 99%

“…However, experiments show that the initial movement direction is in between the first and second target position (van Sonderen et al, 1988). Short latency adjustments are not only found in simple pointing movements, but also in reach-to-grasp movements in response to changes in target position (Paulignan et al, 1991b) or orientation (Desmurget et al, 1996;Voudouris et al, 2013). Why are latencies of adjustments shorter than normal reaction times?…”

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confidence: 99%

Movement Adjustments Have Short Latencies Because There is No Need to Detect Anything

Smeets¹,

Wijdenes

Brenner³

2016

Motor Control

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We can adjust an ongoing movement to a change in the target's position with a latency of about 100 ms, about half of the time that is needed to start a new movement in response to the same change in target position (reaction time). In this opinion paper, we discuss factors that could explain the difference in latency between initiating and adjusting a movement in response to target displacements. We consider the latency to be the sum of the durations of various stages in information processing. Many of these stages are identical for adjusting and initiating a movement; however, for movement initiation, it is essential to detect that something has changed to respond, whereas adjustments to movements can be based on updated position information without detecting that the position has changed. This explanation for the shorter latency for movement adjustments also explains why we can respond to changes that we do not detect.

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Synergies in Grasping

Smeets

Brenner

2016

Advances in Experimental Medicine and Biology

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The reach-to-grasp movement is a prototype of human movement coordination. Since the pioneering work of Jeannerod (Attention and performance, ix. Erlbaum, Hillsdale, NJ, pp 153-169, 1981), this movement is generally considered to be a coordinated combination of hand transport and grip formation. One of the main theoretical reasons for choosing transport and grip as building blocks is that they are anatomically independent: one can determine for each muscle, joint or brain area whether it belongs to transport or grip. We have proposed a different view on grasping, in which the coordination problem is formulated as one related to the movements of the digits (Smeets and Brenner in Motor Control 3:237-271, 1999). According to this view, both the transport of the hand and the formation of the grip emerge from the combination of independent digits' movements towards the objects' surface. This independency of the digits resembles the independence of synergies (as discussed in the chapter of d'Avella). Different synergies are activated independently, but a single muscle can be part of several synergies. In this chapter we will present three types of experiments that were designed to test to what extent the individual digits' movements can be considered the building blocks of the reach-to-grasp movement.

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Ultra-fast selection of grasping points

Abstract: Voudouris D, Smeets JB, Brenner E. Ultra-fast selection of grasping points.

Cited by 34 publications

References 36 publications

Online processing of shape information for control of grasping

Online processing of shape information for control of grasping

Movement Adjustments Have Short Latencies Because There is No Need to Detect Anything

Synergies in Grasping

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