Because of these reasons (among others), recently, much more attention has been given to the developed of human tele-operated systems, haptic interfaces, human knowledge transfer to robots, etc, where the complex planning strategies are done by humans.
This substantial set of data satisfies the need for more fundamental knowledge on haptic size perception, necessary for a greater understanding of the perception of related properties, as well as of more general perceptual processes.
The presented ontology captures the existing knowledge in haptics domain, using OWL, and defines the pathways that the haptic information follows between the human and the machine haptic system, using SWRL rules.
While tactile sensation is obviously needed to perceive 3D shape, it also seems clear that one cannot predict how any given person will perform on haptic surface shape estimation given a knowledge of their tactile acuity.
How do we use sound, haptic feedback or other mechanisms to impart knowledge without large real estate?
A derivation from the knowledge gained from the studies using our haptic display is an assessment approach in which clinicians and computational algorithms participate in the diagnosis process.
However, knowledge about the influence of different sources of haptic sensory information, such as plantar force or vibromechanical stimuli, on the control of walking is incomplete.
According to Nabeta et al. (2003), contextual knowledge acquired solely within the visual modality can subsequently facilitate haptic search.
The window mechanism could not be deduced by visual inspection alone (without knowledge of hinge-mechanisms), but could be readily discovered by haptic exploration.
The knowledge of robot kinematics and dynamics is thus necessary to ensure haptic transparency and patient safety.
