We measured the sensitivity in detecting a change in the location of one of two visual targets over a short period of time to investigate the impact of a secondary intellectual symbolic WM task on the visuospatial short-term memory, in a dual-task paradigm. We observed that engaging in a WM task that involves manipulation of symbolic information impacts the ability to detect a location change, ...

We measured the sensitivity in detecting a change in the location of one of two visual targets over a short period of time to investigate the impact of a secondary intellectual symbolic WM task on the visuospatial short-term memory, in a dual-task paradigm. We observed that engaging in a WM task that involves manipulation of symbolic information impacts the ability to detect a location change, ...

This article addresses the problem of manipulation planning in the presence of uncertainty. We begin by reviewing the worst-case planning techniques introduced by Lozano-Pérez et al. (1984) and show that these methods are limited by an information gap inherent to worst-case analysis techniques. As the task uncertainty increases, these methods fail to produce useful information, even thou...

Recent work suggests that human subjects may learn mappings between object motion and exerted torque during manipulation of freely pivoting or unstable objects. In the present work, we studied an object manipulation task involving no arm movement to determine how subjects internally represent the force–motion relationship of an object during a skilled manipulation task. Human subjects learned t...

This research focuses on proposing an optimal trajectory planning and control method of two link rigid-flexible manipulators (TLRFM) for Dynamic Object Manipulation (DOM) missions. For the first time, achievement of DOM task using a rotating one flexible link robot was taken into account in [20]. The authors do not aim to contribute on either trajectory tracking or vibration control of the End-...

This paper reports preliminary experiments with a cooperative robot system to augment single cell manipulation tasks. The JHU "Steady-Hand" robot confguration for cell manipulation is reported. Stable force control laws for the "Steady Hand" 'are revisited. Preliminary experiments validating stable insertion of a micropipeffe in a mouse embryo are detailed along with formulation of vision based...

EXCITABILITY CHANGE IN IPSILATERAL PRIMARY MOTOR CORTEX DURING A FINE-MOTOR MANIPULATION TASK

Robot grasping depends on the specific manipulation scenario: the object, its properties, task and grasp constraints. Object-task affordances facilitate semantic reasoning about pre-grasp configurations with respect to the intended tasks, favouring good grasps. We employ probabilistic rule learning to recover such object-task affordances for task-dependent grasping from realistic video data.

For Perkins [1], any learning environment can be parsed into five facets, not all of which are always present. These five facets are information banks, symbol pads, construction kits, ‘phenomenaria’ and task managers [1]. Information banks are sources of explicit information about a topic like textbooks. Symbol pads are surfaces for the construction and manipulation of symbols like word process...