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In this paper, we have developed a motion capture method based on data collected by MYO armband. The method can be applied on any healthy operator wearing two MYO armbands on both upper and lower arms, respectively. The first MYO armband is worn near the centre of the operator's upper arm, the other is worn near the centre of the forearm. MYO armband has built-in eight bioelectrical sensors as well...
In this paper, a sensory-motor fusion-based manipulation and grasping control strategy has been developed for a robotic hand-eye system. The proposed hierarchical control architecture has three modules: 1) vision servoing; 2) surface electromyography (sEMG)-based movement recognition; and 3) hybrid force and motion optimization for manipulation and grasping. A stereo camera is used to obtain the 3-D...
In this paper, we have developed a method to tele-control a robot arm to imitate human writing skills using electromyography (EMG) signals. The control method is implemented on the Baxter® robot with a brush attached on the endpoint of its arm to imitate human writing skills, and a MYO sensor is used to measure the surface electromyographic (sEMG) signals generated by contractions of human muscles...
In this paper, we have developed a teleoperation method with novel features, such that the human operator could manipulate the telerobot using both physical and physiological means. Physiological studies have shown that our central neural system (CNS) is able to adapt muscle force, stiffness and damping to perform different tasks under various environments. However, there has been very little research...
Tele-operation is a merging point of modern developments in robotics and communications technologies. Both traditional applications (e.g., mining) and emerging domains (e.g., microsurgery) benefit from the advancement of tele-robotic systems. Combining a local human operator and a remote autonomous robot, the tele-robotics systems could optimally exploit both the intelligence of human operator and...
Brain-computer interface (BCI) controlled wheelchair robots can serve as powerful aids for severely disabled people in their daily life, especially to help them move voluntarily. In order to better understand human “thought”, owing to the development of the hybrid brain/muscle interface technique, in this paper, we present a real-time hybrid brain/muscle interface to control a wheelchair directly...
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