An artificial neural network can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward neural networks have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these...

The use of a LED fiber-optic sensor to measure displacement and linear thermal expansion is described. It has a sensitivity of about 0.6 mV/mm, a resolution of 1.25 mm, and a dynamic rang of 400 mm for displacement measurements. For thermal expansion, it shows a sensitivity of about 3.5 mV/C, and the experimental linear expansion values are in agreement with those calculated. The reported senso...

this paper aims to discuss the requirements of safe and smooth trajectory planning of transporter mobile robots to perform non-prehensile object manipulation task. in non-prehensile approach, the robot and the object must keep their grasp-less contact during manipulation task. to this end, dynamic grasp concept is employed for a box manipulation task and corresponding conditions are obtained an...