Astrid M. L. Kappers

TL;DR: The data conformed quite well to some hypothetical fiducial global surface, the orientation of which was “probed” by the subject’s local settings, based upon an analysis of the internal structure of the local settings.

TL;DR: Results of a free sorting task of 124 different material samples are analysed using multidimensional scaling and the haptic material space is calibrated by means of physical measurements of compressibility and roughness.

TL;DR: The results reveal that the apparent patterns of relief from texture are systematically underestimated; convex surfaces appear to have greater depth than concave surfaces, large camera angles produce greater amounts of perceived depth than small camera angles, and the apparent depth-to-width ratio for a given image of a surface is greater for small viewing angles than for large viewing angles.

TL;DR: An overview of neuroscientific bases of hand synergies is provided and how robotics has leveraged the insights from neuroscience for innovative design in hardware and controllers for biomedical engineering applications, including myoelectric hand prostheses, devices for haptics research, and wearable sensing of human hand kinematics are introduced.

TL;DR: The relative roles of force/displacement and surface deformation cues are investigated and measured discrimination thresholds with silicone rubber stimuli of differing thickness and compliance found that differences in object thickness are correctly taken into account.