Biologically inspired robotic systems can find important applications in biomedical robotics, since studying and replicating human behaviour can provide new insights into motor recovery, functional substitution and human-robot interaction. The analysis of human hand motion is essential for collecting information about human hand movements useful for generalizing reaching and grasping actions on...

We investigated particularly the proactive nature of the visual-motor system by steady and transient experiments of a hand-tracking task, and confirmed that the hand motion precedes on the average the target motion in steady runs within a finite frequency range of the sinusoidal target motion. The question why and how much the hand motion should precede was answered by frequency-jump experiment...

In partial caging, an object is partially constrained by robots and is able to escape from there. Although complete caging ensures the hand never releases the confined object, insufficient degrees of freedom of robots does not often satisfy the conditions for caging. Partial caging, however, can be accomplished even by robots having such mechanical restriction. We consider a case that an object...

The main objective of this study is estimating acceleration time history of 16 September 1978 Tabas earthquake incorporating the seismological/geological source-path and site model parameters by using finite-fault simulation approach. The method generalizes the stochastic ground-motion simulation technique, developed for point sources, to the case of finite faults. It subdivides the fault plane...

A classifier is commonly generated for multifunctional prostheses control or also as input devices in human–computer interfaces. The complementary use of the open-access biomechanical simulation software, OpenSim, demonstrated hand-movement classification performance visualization. was created from a previously captured database, which has 15 finger movements that were acquired during synchroni...

This paper presents a pose measurement method of a 3D object. The proposed method utilizes an evolutionary search technique of the genetic algorithm (GA) and a fitness evaluation based on a stereo model matching whose pose is expressed by unit quaternion. To improve the dynamics of recognition, a motion-feedforward compensation method is proposed for the hand-eye system. The effectiveness of th...

|A method is presented to learn 3D grasping of objects with unknown dimensions using a monocular eye-in-hand manipulator. From a sequence of images a motion proole is generated to approach the object of unknown size. It is shown that monocular visual information suuces to control the deceleration of the robot manipulator. A strategy for generating learning samples is presented, and simulation r...