Example wireless feedback control systems disclosed herein include a receiver to receive a first measurement of a target system via a first wireless link. Disclosed example systems also include a neural network to predict a value of a state of the target system at a future time relative to a prior time associated with the first measurement, the neural network to predict the value of the state of the target system based on the first measurement and a prior sequence of values of a control signal previously generated to control the target system during a time interval between the prior time and the future time, and the neural network to output the predicted value of the state of the target system to a controller. Disclosed example systems further include a transmitter to transmit a new value of the control signal to the target system via a second wireless link.

Example wireless feedback control systems disclosed herein include a receiver to receive a first measurement of a target system via a first wireless link. Disclosed example systems also include a neural network to predict a value of a state of the target system at a future time relative to a prior time associated with the first measurement, the neural network to predict the value of the state of the target system based on the first measurement and a prior sequence of values of a control signal previously generated to control the target system during a time interval between the prior time and the future time, and the neural network to output the predicted value of the state of the target system to a controller. Disclosed example systems further include a transmitter to transmit a new value of the control signal to the target system via a second wireless link.

A computer-implemented method, according to one approach, includes identifying machines involved in performance of a manufacturing process at a manufacturing location, and identifying a workflow sequence of execution of the machines. Conditions associated with remote operators using virtual reality (VR) devices to remotely control the machines to perform the workflow sequence of execution at the manufacturing location are received. The method further includes determining, for each of the VR devices, an extent of a VR collaborative environment to display. The extents are determined based on the conditions, thereby reducing latency in performance of the workflow sequence of execution at the manufacturing location. The method further includes outputting the extents to the VR devices.

A telepresence system includes a man-machine interface and a teleoperator configured to communicate bidirectionally with the man-machine interface via a communications channel. The teleoperator performs actions based on first signals generated due to a manual operation of the man-machine interface and transmitted over the communication channel, and sends second signals to the man-machine interface over a second communication channel. At least one buffer device buffers signals transferred through the communication channel and releases the signals delayed so that the signals coming from the man-machine interface and the signals coming from the teleoperator each are transmitted through the communication channel with an effective constant time delay.