International audienceHumans can learn to manipulate objects with complex dynamics, including nonrigid objects with internal degrees of freedom. The first aim of this study was to assess the contribution of haptic feedback when learning to manipulate a nonrigid object. The second aim was to evaluate how learning without haptic feedback influences subsequent learning with haptic feedback and vice versa. The task involved moving a simulated mass-attached to a grasped handle via a simulated, damped spring-to a target as quickly as possible. In the haptic plus vision (HV) condition, appropriate forces were applied to the handle, which was attached to a robot. In the vision only (V) condition, these forces were turned off. Participants completed...
Technology for the field of robot-assisted rehabilitation (and haptic training, in general) is rapid...
This paper describes an experiment conducted to measure haptic sensitivity and the effects of haptic...
BACKGROUND: When learning to perform a novel sensorimotor task, humans integrate multi-modal sensory...
International audienceHumans can learn to manipulate objects with complex dynamics, including nonrig...
In (re)learning of movements, haptic guidance can be used to direct the needed adaptations in motor ...
This study explores the effects of haptic feedback on performance and learning by human subjects exe...
Haptic guidance has previously been employed to improve human performance in control tasks. This pap...
The use of robots has attracted researchers to design numerous haptic training methods to support mo...
abstract: This is a report on an experiment that examines if the principles of multimedia learning o...
The use of robots has attracted researchers to design numerous haptic training methods to support mo...
The impact of haptic feedback on the perception of unknown objects (10 without texture, 10 with text...
This paper investigated use of a haptic support system for learning purposes. A 2 Degrees of Freedom...
Teleoperation allow us to manipulate environments that cannot be manipulated directly by a human ope...
International audienceBACKGROUND: Learning to perform new movements is usually achieved by following...
Gaussian mixtures-based learning algorithms are suitable strategies for trajectory learning and skil...
Technology for the field of robot-assisted rehabilitation (and haptic training, in general) is rapid...
This paper describes an experiment conducted to measure haptic sensitivity and the effects of haptic...
BACKGROUND: When learning to perform a novel sensorimotor task, humans integrate multi-modal sensory...
International audienceHumans can learn to manipulate objects with complex dynamics, including nonrig...
In (re)learning of movements, haptic guidance can be used to direct the needed adaptations in motor ...
This study explores the effects of haptic feedback on performance and learning by human subjects exe...
Haptic guidance has previously been employed to improve human performance in control tasks. This pap...
The use of robots has attracted researchers to design numerous haptic training methods to support mo...
abstract: This is a report on an experiment that examines if the principles of multimedia learning o...
The use of robots has attracted researchers to design numerous haptic training methods to support mo...
The impact of haptic feedback on the perception of unknown objects (10 without texture, 10 with text...
This paper investigated use of a haptic support system for learning purposes. A 2 Degrees of Freedom...
Teleoperation allow us to manipulate environments that cannot be manipulated directly by a human ope...
International audienceBACKGROUND: Learning to perform new movements is usually achieved by following...
Gaussian mixtures-based learning algorithms are suitable strategies for trajectory learning and skil...
Technology for the field of robot-assisted rehabilitation (and haptic training, in general) is rapid...
This paper describes an experiment conducted to measure haptic sensitivity and the effects of haptic...
BACKGROUND: When learning to perform a novel sensorimotor task, humans integrate multi-modal sensory...