Abstract: A robotic kitchen assistant for frying includes a robotic arm, a fryer basket, and a robotic arm adapter assembly allowing the robotic arm to pick up and manipulate the fryer basket. The robotic arm adapter includes opposing gripping members to engage the fryer basket. A utensil adapter assembly is mounted to the handle of the fryer basket, and the opposing gripper members are actuated to capture a three-dimensional (3D) feature of the utensil adapter assembly. The robotic arm adapter assembly can include an agitator mechanism to shake the fryer basket or another utensil as desired. Related methods are also described.

Abstract: A flexible robotic kitchen assistant automates the preparation of food items. The robotic kitchen assistant includes a robotic arm, a sensor assembly comprising a plurality of cameras aimed at a kitchen workspace for preparing the food items, a controller operable to move the robotic arm, and a processor. The processor is operable to command the robotic arm to perform a food preparation step on the food items in the kitchen workspace based on order information, recipe information, kitchen equipment information, and camera data. The system is capable of performing a wide range of tasks commonly used in residential and commercial kitchens and is able to work collaboratively with and in close proximity to human kitchen workers.

Abstract: An automated kitchen assistant system inspects a food preparation area in the kitchen environment using a novel sensor combination. The combination of sensors includes an Infrared (IR) camera that generates IR image data and at least one secondary sensor that generates secondary image data. The IR image data and secondary image data are processed to obtain combined image data. A trained convolutional neural network is employed to automatically compute an output based on the combined image data. The output includes information about the identity and the location of the food item. The output may further be utilized to command a robotic arm, kitchen worker, or otherwise assist in food preparation. Related methods are also described.

Abstract: A modular robotic kitchen system is conveniently adaptable to perform a wide range of cooking applications. The modular robotic kitchen system can include a plurality of discrete modular units organized in a small footprint such that multiple types of cooking applications can be performed without a need to replace the modular units. Exemplary modular units include an ingredient module, robotic arm module, assembly and packaging module, and warming module. Optionally a transport unit or sled moves the modules into position. The modular kitchen system includes a central processor operable to carry out different cooking applications upon downloading software corresponding to the specific cooking application and without retooling the existing modules. Related methods are also described.

Abstract: A sleeve apparatus for protecting a robotic kitchen arm from contamination. The sleeve includes a proximal end, a distal end, a passageway extending from the proximal end to the distal end, and an exterior surface. The passageway has an effective diameter less than the effective diameter of the robotic kitchen arm such that the exterior surface of the sleeve apparatus is substantially fold-free when the robotic arm is in the extended configuration. Methods of cleaning a robotic kitchen arm are also described.

Abstract: A robotic kitchen assistant for frying includes a robotic arm, a fryer basket, and a robotic arm adapter assembly allowing the robotic arm to pick up and manipulate the fryer basket. The robotic arm adapter includes opposing gripping members to engage the fryer basket. A utensil adapter assembly is mounted to the handle of the fryer basket, and the opposing gripper members are actuated to capture a three-dimensional (3D) feature of the utensil adapter assembly. The robotic arm adapter assembly can include an agitator mechanism to shake the fryer basket or another utensil as desired. Related methods are also described.

Abstract: A robotic kitchen assistant for frying includes a robotic arm, a fryer basket, and a robotic arm adapter assembly allowing the robotic arm to pick up and manipulate the fryer basket. The robotic arm adapter includes opposing gripping members to engage the fryer basket. A utensil adapter assembly is mounted to the handle of the fryer basket, and the opposing gripper members are actuated to capture a three-dimensional (3D) feature of the utensil adapter assembly. The robotic arm adapter assembly can include an agitator mechanism to shake the fryer basket or another utensil as desired. Related methods are also described.

Abstract: A robotic kitchen assistant for frying includes a robotic arm, a fryer basket, and a robotic arm adapter assembly allowing the robotic arm to pick up and manipulate the fryer basket. The robotic arm adapter includes opposing gripping members to engage the fryer basket. A utensil adapter assembly is mounted to the handle of the fryer basket, and the opposing gripper members are actuated to capture a three-dimensional (3D) feature of the utensil adapter assembly. The robotic arm adapter assembly can include an agitator mechanism to shake the fryer basket or another utensil as desired. Related methods are also described.

Abstract: An automated kitchen assistant system inspects a food preparation area in the kitchen environment using a novel sensor combination. The combination of sensors includes an Infrared (IR) camera that generates IR image data and at least one secondary sensor that generates secondary image data. The IR image data and secondary image data are processed to obtain combined image data. A trained convolutional neural network is employed to automatically compute an output based on the combined image data. The output includes information about the identity and the location of the food item. The output may further be utilized to command a robotic arm, kitchen worker, or otherwise assist in food preparation. Related methods are also described.

Abstract: An automated kitchen assistant system inspects a food preparation area in the kitchen environment using a novel sensor combination. The combination of sensors includes an Infrared (IR) camera that generates IR image data and at least one secondary sensor that generates secondary image data. The IR image data and secondary image data are processed to obtain combined image data. A trained convolutional neural network is employed to automatically compute an output based on the combined image data. The output includes information about the identity and the location of the food item. The output may further be utilized to command a robotic arm, kitchen worker, or otherwise assist in food preparation. Related methods are also described.

Abstract: A food preparation system is configured to enhance the efficiency of food preparation operations in a commercial kitchen by displaying instructions on a surface in the kitchen work area. The food preparation system includes a plurality of cameras aimed at a kitchen workspace for preparing the plurality of food items and a processor operable to compute an instruction for a kitchen worker to perform a food preparation step based on one or more types of information selected from order information, recipe information, kitchen equipment information, data from the cameras, and food item inventory information. A projector in communication with the processor visually projects the instruction onto a location in the kitchen workspace for the kitchen worker to observe. Related methods for projecting food preparation instructions are described.

Abstract: A sleeve apparatus for protecting a robotic kitchen arm from contamination. The sleeve includes a proximal end, a distal end, a passageway extending from the proximal end to the distal end, and an exterior surface. The passageway has an effective diameter less than the effective diameter of the robotic kitchen arm such that the exterior surface of the sleeve apparatus is substantially fold-free when the robotic arm is in the extended configuration. Methods of cleaning a robotic kitchen arm are also described.

Abstract: A robotic food singulation system for providing individual food units in a predetermined arrangement from a whole raw food. A food preparation device outputs individual food units, one at a time, onto a conveyor belt. A programmed processor computes an identity score for the food unit, and evaluates a singulation quality based on characteristics from various sensors or cameras aimed at the conveyor and food unit. The system instructs a robotic arm to pick up the food unit and distribute it in a predetermined arrangement on a target substrate, optionally, with a jawless gripping and release assembly. The target substrate may be a storage device or another food item itself depending on the food assembly instructions. Related methods are also described.

Abstract: A modular robotic kitchen system is conveniently adaptable to perform a wide range of cooking applications. The modular robotic kitchen system can include a plurality of discrete modular units organized in a small footprint such that multiple types of cooking applications can be performed without a need to replace the modular units. Exemplary modular units include an ingredient module, robotic arm module, assembly and packaging module, and warming module. Optionally a transport unit or sled moves the modules into position. The modular kitchen system includes a central processor operable to carry out different cooking applications upon downloading software corresponding to the specific cooking application and without retooling the existing modules. Related methods are also described.

Abstract: A flexible robotic kitchen assistant automates the preparation of food items. The robotic kitchen assistant includes a robotic arm, a sensor assembly comprising a plurality of cameras aimed at a kitchen workspace for preparing the food items, a controller operable to move the robotic arm, and a processor. The processor is operable to command the robotic arm to perform a food preparation step on the food items in the kitchen workspace based on order information, recipe information, kitchen equipment information, and camera data. The system is capable of performing a wide range of tasks commonly used in residential and commercial kitchens and is able to work collaboratively with and in close proximity to human kitchen workers.

Abstract: A robotic kitchen assistant for frying includes a robotic arm, a fryer basket, and a robotic arm adapter assembly allowing the robotic arm to pick up and manipulate the fryer basket. The robotic arm adapter includes opposing gripping members to engage the fryer basket. A utensil adapter assembly is mounted to the handle of the fryer basket, and the opposing gripper members are actuated to capture a three-dimensional (3D) feature of the utensil adapter assembly. The robotic arm adapter assembly can include an agitator mechanism to shake the fryer basket or another utensil as desired. Related methods are also described.

Abstract: A robotic kitchen assistant for frying includes a robotic arm, a fryer basket, and a robotic arm adapter assembly allowing the robotic arm to pick up and manipulate the fryer basket. The robotic arm adapter includes opposing gripping members to engage the fryer basket. A utensil adapter assembly is mounted to the handle of the fryer basket, and the opposing gripper members are actuated to capture a three-dimensional (3D) feature of the utensil adapter assembly. The robotic arm adapter assembly can include an agitator mechanism to shake the fryer basket or another utensil as desired. Related methods are also described.

Abstract: A sleeve apparatus for protecting a robotic kitchen arm from contamination. The sleeve includes a proximal end, a distal end, a passageway extending from the proximal end to the distal end, and an exterior surface. The passageway has an effective diameter less than the effective diameter of the robotic kitchen arm such that the exterior surface of the sleeve apparatus is substantially fold-free when the robotic arm is in the extended configuration. Methods of cleaning a robotic kitchen arm are also described.

Abstract: An automated kitchen assistant system inspects a food preparation area in the kitchen environment using a novel sensor combination. The combination of sensors includes an Infrared (IR) camera that generates IR image data and at least one secondary sensor that generates secondary image data. The IR image data and secondary image data are processed to obtain combined image data. A trained convolutional neural network is employed to automatically compute an output based on the combined image data. The output includes information about the identity and the location of the food item. The output may further be utilized to command a robotic arm, kitchen worker, or otherwise assist in food preparation. Related methods are also described.