In the era of Industry 4.0, there are many emerging industrial Internet Things (IIoT) applications that require ultrareliable and low-latency communications (URLLCs), such as time-sensitive networking (TSN), status reporting, remote control. With deployment massive intelligent devices in IIoT networks, providing security for device physical-layer access is a challenging issue, especially URLLC ...

In previous chapter it has been described the overall architecture for multimodal learning in the robotic assembly domain (Lopez-Juarez & Rios Cabrera, 2006). The acquisition of assembly skills by robots is greatly supported by the effective use of contact force sensing and object recognition. In this chapter we will describe the robot’s ability to invariantly recognise assembly parts at differ...

In order to qualitative and quantitative study on essential oil, obtained from leaf and peel of Citrus aurantium L. cultivated in North of Iran (Sari city) the leaves and fruits were gathered on April and November 2002, respectivelly. Clevenger apparatus was used for hydro-distillation extraction in order to provide the oil of leaf and peel of Citrus aurantium L. The outputs of each essential o...

This paper discusses a new experimental robot load identification method that is used in industry. The method is based on periodic robot excitation and the maximum likelihood estimation of the parameters, techniques adopted from [1]. This method provides (1) accurate estimates of the robot load inertial parameters, and (2) accurate actuator torques predictions, both of which are essential for t...

For robots with joint elasticity, discrepancies exist between the motor side information and the load side (i.e., end-effector) information. Therefore, high tracking performance at the load side can hardly be achieved when the estimate of load side information is inaccurate. To minimize such inaccuracies, it is desired to calibrate the load side sensor (in particular, the exact sensor location)...