Tech

The authors consider the detection of small surface features, such as cracks, bumps, and ridges, on the surface of an object during haptic exploration and dexterous manipulation. Surface feature definition and detection are essential for intelligent haptic exploration and modeling of unknown objects. First, the authors review the representation of object surface geometry and present definitions of features based on local surface curvature. These definitions depend on both the geometry of the robot fingertips and the object being explored. It is also shown that the trajectory traced by a round fingertip rolling or sliding over the object surface has some intrinsic properties that facilitate feature detection. Several algorithms for feature detection based on feature definitions are described and compared, and simulated and experimental results are presented for feature detection using a hemispherical fingertip equipped with a tactile sensor.

We present a new tactile display for use in dexterous telemanipulation and virtual reality. Our system renders the location of the contact centroid moving on the user’s fingertip. Constructed in a thimble-sized package and mounted on a haptic force-feedback device, it provides the user with concurrent feedback of contact location and interaction forces. We believe such a design will enable more versatile object manipulation and richer haptic interactions. To evaluate this display concept, we conducted two perceptual experiments. First, human subjects judged object curvature using both direct manipulation of physical models and virtual manipulation via the device. Results show similar levels of discrimination in real and virtual interactions, indicating the device can effectively portray contact information. Secondly, we investigated virtual interactions with rolling and anchored objects and demonstrated that users are able to distinguish the interaction type using our device. These ...

The goal of this article is to develop practical descriptions of the relationship between forces and motions in sliding manipu lation. We begin by reviewing the limit surface, a concept from the mechanics of sliding bodies that uses kinematic analysis to find the force and moment required to produce any given sliding motion. Next we provide experimental results showing that the limit surface only approximates the actual force-motion relationship. Then we look at other approximations that can be used to provide a simplified model useful in control, planning, and simulation of manipulation. These approximations include square pyramids, cones, ellipsoids, and ellipsoids with facets removed. Different approximations may be most appropriate, depending on the required computational speed and accuracy and the need to produce conservative results.

Shared control represents a middle ground between supervisory control and traditional bilateral control in which the remote system can exert control over some aspects of the task while the human operator maintains access to low-level forces and motions. In the case of dexterous telemanipulation, a natural approach is to share control of the object handling forces while giving the human operator direct access to remote tactile and force information at the slave fingertips. We describe a set of experiments designed to determine whether shared control can improve the ability of an operator to handle objects delicately and to determine what combinations of force, visual, and audio feedback provide the best level of performance and operator sense of presence. The results demonstrate the benefits of shared control and the need to carefully choose the types and methods of direct and indirect feedback.