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In this paper, a sensorless admittance control scheme is developed for robot manipulators in the presence of input saturation by employing neural networks. To deal with system uncertainties, the radial basis function neural network (RBFNN) is integrated into control design. In order to deal with input saturation, a compensator is applied to handle this problem. To interact with the environment, admittance...
Wearable assist robots deliver power in form of direct contacts with the user, therefore, safety control is considered to be the prior requirement for wearable assist robots. To improve safety, the robot needs to be controlled based on the current contact state feedback. As a state estimation concept approach, a feedback control system based on joint torque has been proposed. The principle of this...
With the developments of robotics, more and more rehabilitation robots are used to assist traditional training in rehabilitation field. In this paper, a novel ankle robot combined with 3 degrees of freedom, full fill passive-active training, subjective awareness and objective training requirements was proposed. The requirement of ankle robot was analyzed based on the ankle physical structure and real...
Stairs are a primary challenge for mobile robots navigating indoor human environments. Stair climbing is a useful, if not necessary, capability for mobile robots in urban search and rescue, security, cleaning, telepresence, elder care, and other applications. Existing stair climbing robots are large, expensive, and not always reliable, especially when descending stairs. In this paper, we present a...
In this paper, a new impedance control method based on pressure distribution for wearable assist robot on multi-joint part is proposed. Generally, assist robots were designed based on assisting for a simple joint body part of the user such as elbow, knee, limb and so on. These robots can be similar structure to the assisted body part, and they can follow the user's movements. On the other hand, it...
Duchenne muscular dystrophy (DMD) is a disease resulting in progressive muscle degeneration. Active arm supports can improve the quality of life for people with DMD by augmenting the residual motor capabilities of their arm. As an extension of our previous study, this research aims at developing a EMG-based control interface to detect the user's movement intention required to control more than 1-DOF...
An exoskeleton robot is kind of a man-machine system which mostly uses combination of human intelligence and machine power. These robotic systems are used for different applications such as rehabilitation, human power amplification, motion assistance, virtual reality etc. Successful operation of an exoskeleton robot depends on correct selection of design and control methodologies. This paper reviews...
Bilateral control system is widely researched as a technique for robotic telesurgry, since reaction force from objects is important information for precise surgical operation. Reaction force/torque observer (RFOB/RTOB) realizes sensorless estimation of external force and it has been efficiently utilized for bilateral control. However, precise estimation of operational force is required for accurate...
The paper presents the development of an autonomous modular robotic chain, with self-reconfiguring skills and able to perform creeping/walking motion. The module design is presented, as well its kinematics and control system. Some movement strategies are analyzed and, for the best one, the robot model is determined, in order to evaluate its worm-like movement possibilities. The experiments on the...
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