The present disclosure relates to a food preparation apparatus with a rotatable chopping tool for chopping foods having a control unit. The chopping tool is arranged or arrangeable relative to a vessel in such a way that foods chopped by means of the chopping tool are transported downwards by gravity to be collected in the vessel. Furthermore, the disclosure relates to a method for chopping a food using a food preparation apparatus, a computer program product, and a use of a chopping attachment. A food preparation apparatus comprises a control unit configured to set a target parameter of a chopping process of a food by means of the chopping tool taking into account provided information. In this way, a particularly good and reproducible chopping result is achieved.

A method for operating an automated food making apparatus having a motor, actuator arm, and an apparatus. The apparatus may be a paddle with flexible fins. The method rotates the paddle with a pin-shaft mechanism to dispense an ingredient placed in a canister, controls the motor automatically based on weight sensor readings, and locates a position of the actuator arm with position sensors. The same motor dispenses ingredients from a plurality of canisters. The method may have a plurality of paddle rotation and weight measurement steps until a target weight is reached. The plurality of paddle rotation steps may be unidirectional or bidirectional paddle rotation. The paddle may be rotated according to one or more paddle rotation algorithms, an error recovery algorithm, or different algorithms based on the amounts of ingredients remaining in the canister. The paddle may be rocked until the target weight is achieved.

A method for operating an automated food making apparatus having a motor, actuator arm, and an apparatus. The apparatus may be a paddle with flexible fins. The method rotates the paddle with a pin-shaft mechanism to dispense an ingredient placed in a canister, controls the motor automatically based on weight sensor readings, and locates a position of the actuator arm with position sensors. The same motor dispenses ingredients from a plurality of canisters. The method may have a plurality of paddle rotation and weight measurement steps until a target weight is reached. The plurality of paddle rotation steps may be unidirectional or bidirectional paddle rotation. The paddle may be rotated according to one or more paddle rotation algorithms, an error recovery algorithm, or different algorithms based on the amounts of ingredients remaining in the canister. The paddle may be rocked until the target weight is achieved.

There is achieved a configuration in which suspension of cooking being performed by a cooking robot is controlled to enable cooking to be completed at the expected time for a user to return home. Included are an expected return home time estimation unit that estimates an expected time to return home at which the user is expected to return home; an expected cooking completion time estimation unit that estimates an expected time to complete cooking at which a cooking robot is expected to complete cooking; and a cooking execution control unit that controls the cooking robot. In a case where a difference (X−Y) between the expected time to return home (X) estimated by the expected return home time estimation unit and the expected time to complete cooking (Y) estimated by the expected cooking completion time estimation unit is not less than a predetermined threshold value (Th), the cooking execution control unit performs control to cause the cooking robot to suspend cooking so that cooking can be completed at the expected time to return home (X).

There is achieved a configuration in which suspension of cooking being performed by a cooking robot is controlled to enable cooking to be completed at the expected time for a user to return home. Included are an expected return home time estimation unit that estimates an expected time to return home at which the user is expected to return home; an expected cooking completion time estimation unit that estimates an expected time to complete cooking at which a cooking robot is expected to complete cooking; and a cooking execution control unit that controls the cooking robot. In a case where a difference (X−Y) between the expected time to return home (X) estimated by the expected return home time estimation unit and the expected time to complete cooking (Y) estimated by the expected cooking completion time estimation unit is not less than a predetermined threshold value (Th), the cooking execution control unit performs control to cause the cooking robot to suspend cooking so that cooking can be completed at the expected time to return home (X).

The present invention relates to a cookware, and in particular, relates to a multifunctional cooker. The multifunctional cooker comprises a cooker body and cooker covers, wherein the multifunctional cooker is provided with at least two cooker covers, at least one cooker cover is provided with an air fryer assembly, at least one cooker cover is provided with a pressure cooker assembly, and at least one cooker cover is connected with the cooker body. The present invention integrates the functions of pressure cooking and air baking, thereby realizing the switch between pressure cooker function and air fryer function and realizing the purpose of one cooker with multiple functions.

The present invention is an automated cooking apparatus and its method of operation, also referred to as robotic chef, that is flexible and that a chef may program, which allows addition of a new recipe by the end users (e.g., the chef in charge of a specific restaurant or menu), modification of a recipe, or the like. Additionally or alternatively, the new recipe may be obtained from a repository of recipes such as retained in a database, in a cloud storage, or the like.

The present invention is an automated cooking apparatus and its method of operation, also referred to as robotic chef, that is flexible and that a chef may program, which allows addition of a new recipe by the end users (e.g., the chef in charge of a specific restaurant or menu), modification of a recipe, or the like. Additionally or alternatively, the new recipe may be obtained from a repository of recipes such as retained in a database, in a cloud storage, or the like.

Example mixture modeling systems and methods are described. In one implementation, a system includes an encoder that receives multiple base ingredients and produces multiple corresponding representations. A composite modeler receives a mixture definition comprising a list of base ingredients and their relative proportions. The composite modeler generates a representation of the mixture. A decoder is receives a representation of a mixture and generates a list of features.

Example mixture modeling systems and methods are described. In one implementation, a system includes an encoder that receives multiple base ingredients and produces multiple corresponding representations. A composite modeler receives a mixture definition comprising a list of base ingredients and their relative proportions. The composite modeler generates a representation of the mixture. A decoder is receives a representation of a mixture and generates a list of features.