Visual feedback control method of a wheeled mobile robot using a pan camera preferentially

Author(s):  
Takafumi Ebata ◽  
Masahide Ito ◽  
Masaaki Shibata
Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2210
Author(s):  
Masaru Takeuchi ◽  
Keita Watanabe ◽  
Kanta Ishihara ◽  
Taichi Miyamoto ◽  
Katsuhiro Tokutake ◽  
...  

Peripheral nerve disconnections cause severe muscle atrophy and consequently, paralysis of limbs. Reinnervation of denervated muscle by transplanting motor neurons and applying Functional Electrical Stimulation (FES) onto peripheral nerves is an important procedure for preventing irreversible degeneration of muscle tissues. After the reinnervation of denervated muscles, multiple peripheral nerves should be stimulated independently to control joint motion and reconstruct functional movements of limbs by the FES. In this study, a wirelessly powered two-channel neurostimulator was developed with the purpose of applying selective FES to two peripheral nerves—the peroneal nerve and the tibial nerve in a rat. The neurostimulator was designed in such a way that power could be supplied wirelessly, from a transmitter coil to a receiver coil. The receiver coil was connected, in turn, to the peroneal and tibial nerves in the rat. The receiver circuit had a low pass filter to allow detection of the frequency of the transmitter signal. The stimulation of the nerves was switched according to the frequency of the transmitter signal. Dorsal/plantar flexion of the rat ankle joint was selectively induced by the developed neurostimulator. The rat ankle joint angle was controlled by changing the stimulation electrode and the stimulation current, based on the Proportional Integral (PI) control method using a visual feedback control system. This study was aimed at controlling the leg motion by stimulating the peripheral nerves using the neurostimulator.


2015 ◽  
Vol 764-765 ◽  
pp. 587-591 ◽  
Author(s):  
Chih Chin Wen ◽  
Shi Wei Lin

This paper introduces an alignment method using machine vision feedback control method. A panel is placed on a XXY table and its posture is inspected by image sensors with a frame grabber. The alignment of the panel is corrected by adjusting its positions until the amount of misalignment converges into a small tolerance error. Two-phase control process is also derived with this image acquisition design. Applying this proposed control method, long distance moving requirement and better alignment precision performance request can be also guaranteed. Experimental results are shown to demonstrate the feasibility of this alignment control system.


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