Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of electric autonomous vehicle for apportioned display of a media, operating autonomously and a fleet management module for coordination of the autonomous vehicle fleet. Each autonomous or semi-autonomous vehicle comprising a screen configured to display the media. Activation, deactivation, brightness modification, in combination with specific media selection enables more efficient media display.

A system includes a radio frequency (RF) signal source configured to supply an RF signal. An electrode is coupled to the RF signal source and a transmission path is between the RF signal source and the electrode. The transmission path is configured to convey the RF signal from the RF signal source to the electrode to cause the electrode to radiate RF electromagnetic energy into a cavity. Power detection circuitry is coupled to the transmission path and configured to repeatedly measure RF power values including at least one of forward RF power values and reflected RF power values along the transmission path. A controller is configured to determine that a load in the cavity is a low-loss load based on a rate of change of the RF power values, and cause the RF signal source to supply the RF signal with the one or more desired signal parameters.

A defrosting system includes an RF signal source, one or more electrodes proximate to a cavity within which a load to be defrosted is positioned, a transmission path between the RF signal source and the electrode(s), and an impedance matching network electrically coupled along the transmission path between the output of the RF signal source and the electrode(s). The system also includes measurement circuitry coupled to the transmission path and configured to measure one or more parameters that include voltage, current, forward signal power, reflected signal power, and S11 along the transmission path. A system controller is configured to monitor the measurements, and to modify operation of the system when a rate of change of any of the monitored parameter(s) exceeds a predetermined threshold. The impedance matching network may be a single-ended network or a double-ended network.

A defrosting system includes an RF signal source, one or more electrodes proximate to a cavity within which a load to be defrosted is positioned, a transmission path between the RF signal source and the electrode(s), and an impedance matching network electrically coupled along the transmission path between the RF signal source output and the electrode(s). A system controller is configured to modify, based on the reflected signal power, values of variable passive components of the impedance matching network to reduce the reflected signal power. The system controller may be configured to estimate the mass of the load by comparing component value(s) of one or more variable passive components of the impedance matching network with a component value table stored in memory, where stored mass values correspond to the stored component values. Desired signal parameters for the RF signal may be determined based on the estimated mass of the load.

The present disclosure provides a microwave oven, and a thawing control method and device for the same. The method includes: acquiring a total period T of thawing according to a weight x of food in the microwave oven, wherein the total period T of thawing satisfies: T=K(x/100) seconds, where, 20 seconds/gK120 seconds/g; and controlling the microwave generator to start, and thawing the food according to the total period T of thawing. With the method, the thawed food is more nutritious, healthier, and easier to cut, and has the low temperature difference, without a cooked discoloration phenomenon.

An autonomous robot vehicle in accordance with aspects of the present disclosure includes a land vehicle conveyance system, a sensor system configured to capture information including surrounding environment information and/or vehicle subsystem information, a communication system configured to communicate with a remote human operator management system, at least one processor, and a memory storing instructions. The instructions, when executed by the processor(s), cause the autonomous robot land vehicle to, autonomously, determine based on the captured information to request a remote human operator, and communicate a request to the remote human operator management system for a remote human operator to assume control of the land vehicle conveyance system, where the request includes at least a portion of the captured information.

A microwave heating apparatus includes a cavity arranged to receive a load. At least one microwave generator is configured to feed a plurality of microwaves into the cavity. At least one image-capturing device and a control unit is adapted to obtain load volume information of the load within the cavity based on information recorded by the image-capturing device about at least one portion of the load, obtain load density information using at least one of a user input and information recorded by the image-capturing device about at least one portion of the load, determine load mass information based upon the load volume information and the load density information, determine a heating pattern based upon the load mass information and control the at least one microwave generator to provide the heating pattern within the cavity.

According to one aspect, a platform for providing at least one item to a customer is disclosed. The platform includes an autonomous, semi-autonomous, or fully autonomous vehicle that includes at least one compartment configured to contain a first item ordered by the customer and to contain a second item not ordered by the customer. The platform further includes an application including an ordering module configured to obtain an order from the customer that includes the first item, and a release detection module configured to determine when the first item has been removed from the at least one compartment and configured to determine when the second item has been removed from the at least one compartment. In one embodiment, the second item is predicted using a machine learning algorithm.

The present invention relates to a method for heating or cooking a frozen food product with a susceptor in a solid state microwave oven wherein the method comprises a first heating step at a low absorption frequency and a second heating step at a high absorption frequency.

An autonomous robot vehicle in accordance with aspects of the present disclosure includes a conveyance system and a compartment coupled to the conveyance system. The conveyance system autonomously drives the autonomous robotic vehicle between one or more storage locations and one or more delivery locations. The compartment receives one or more items stored at the one more storage locations. The compartment includes a temperature control module configured to maintain the compartment within a predetermined temperature range to provide temperature control for the one or more items as the conveyance system drives between the one or more storage locations and the one or more delivery locations.