Development of the master hand for grasping information capturing

Capturing Human Hand Kinematics for Object Grasping and Manipulation

Hand Motion and Grasping: Capturing, Recognizing and Synthesizing

In this paper we review the various previous methods in vision-based hand motion analysis and hand motion synthesis and grasping. We present our two solutions to the problem. First, we present an articulated hand pose estimation scheme, in which we improve the regression forest based methods by incorporating high-level hand part feature and hand motion constraints. Second, we present a framewor...

Design and evaluation of a sensory feedback system that provides grasping pressure in a myoelectric hand.

Providing accurate sensory information to the individual with a myoelectric limb is of great importance for improving device use in a wide variety of tasks. A number of feedback systems presently being investigated rely on either vibrotactile or electrotactile skin stimulation, which does not provide sensory patterns similar to those in a natural grasping hand. A prototype system was developed ...

A short survey of conventional master hand systems

We propose a novel grip-type master hand called MeisterGRIP that measures grip force in terms of a force vector distribution. This device is expected to allow intuitive robot manipulation using vision-based haptic-sensing technology. Furthermore, it can be used for general-purpose manipulation and is tolerant to individual differences in hand size and grasping posture. We constructed MeisterGRI...

A Novel Anthropomorphic Robot Hand and its Master Slave System

Future humanoid robots will execute various complicated tasks based on communication with human users. These humanoid robots will be equipped with anthropomorphic robot hands much like the human hand. The robots will eventually supplant human labor in the execution of intricate and dangerous tasks in areas such as manufacturing, space exploration and the seabeds. Many multi-fingered robot hands...