Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of autonomous or semi-autonomous vehicles for containing, securing, and delivering at least one of a first item and at least one of a second item after a customer places an order for a first item, operating autonomously or semi-autonomously, and a fleet management module for coordination of the autonomous or semi-autonomous vehicle fleet.

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.

An autonomous or semi-autonomous vehicle fleet comprising a plurality of autonomous or semi-autonomous vehicles for providing an assortment of items to a customer or a potential customer after such customer or potential customer summons the one or more autonomous or semi-autonomous vehicles in an unstructured open or closed environment. Each autonomous or semi-autonomous vehicle comprises one or more compartments configured to contain and secure the assortment of the items to be selected once the summoned autonomous or semi-autonomous vehicle arrives to a customer or potential customer.

A managing apparatus for positioning rental vehicles includes a memory storing instructions and a processor configured to execute the instructions to cause the managing apparatus to access model information and location information for a plurality of autonomous vehicles, receive a request including a delivery location and a chosen model for renting, select an autonomous vehicle of the chosen model from among the plurality of autonomous vehicles based on the model information, the location information, and the delivery location, instruct the selected autonomous vehicle to fully-autonomously or semi-autonomously travel to the delivery location, and instruct the selected autonomous vehicle to switch to manual operation mode at the delivery location for manual operation by a vehicle rental customer.

A method of determining heating strategies for a cooking appliance (10) includes obtaining geometry dimensions, power values, and frequency values of the cooking appliance (10), selecting a food item (14) and obtaining a food geometry, permittivity value, and initial temperature of the selected food item (14). A heating pattern (28) for heating the selected food item (14) is estimated based on the food geometry, permittivity value, and initial temperature of the selected food item (14) and data indicative of the estimated heating pattern (28) is inputted to an operating control system (21) to achieve the estimated heating strategy.

Apparatus and method for applying RF energy to determine a processing state of an object placed in a cavity, during processing of the object. The method includes applying RF energy to the object during the processing via at least one radiating element, receiving RF feedback from in or around the cavity, said RF feedback being indicative of a dielectric response of the cavity and/or the object to electromagnetic (EM) fields excited in the cavity, mathematically manipulating the RF feedback to obtain computed RF feedback, determining one or more processing states of the object based on a correlation between the computed RF feedback and the one or more processing states of the object, and monitoring the computed RF feedback during the applying to monitor the one or more processing states of the object.

An example method for rewarming a cryopreserved material includes identifying a parameter indicating a state of a container enclosing a single-mode electromagnetic field. The method further includes maintaining the single-mode electromagnetic field by adjusting, based on the parameter, a frequency and/or a power of the electromagnetic waves.

An apparatus configured to apply electromagnetic energy to an object may include an energy application zone adapted to receive at least a portion of an object and a source configured to supply RF energy to the energy application zone. The apparatus may also include at least one processor configured to: cause the source to supply RF energy to the energy application zone; determine a value indicative of a rate of energy absorption by a load, including at least a portion of the object, during a first period of time; and determine, based on the value indicative of the rate of energy absorption by the load, an estimated amount of time to obtain a desired characteristic in at least a portion of the object.

A method for applying RF energy to detect a processing state of an object placed in an energy application zone, during processing of the object, may include applying RF energy to the object during processing. The method may also include receiving computed RF feedback, correlated with one or more processing states of the object; and monitoring the computed RF feedback during the processing to detect the one or more processing states of the object.

A delivery system includes a database configured to store information of a customer where the information includes a default payment method, a communication system configured to communicate with an autonomous vehicle and with a device of the customer, where the device includes a display screen having a button to summon an autonomous vehicle, at least one processor, and a memory storing instructions. The instructions, when executed by the at least one processor, cause the delivery system to receive an indication via the communication system that the button on the device of the customer has been clicked, and instruct the autonomous vehicle to travel to a location of the customer.