MOBILE HUMAN-FRIENDLY ASSISTIVE ROBOT

A robotic assistant, associated software and methodology for operating the same. The described robotic assistant includes: a motorized base having at least two motor driven wheels controlled by a first control platform; a dual arm robot mounted on the motorized base, the dual arm robot having a first arm and a second arm controlled by a second control platform; a remote sip and puff mouth controller having three degrees of operational freedom; and a computer system that receives command signals from the remote sip and puff mouth controller, and includes an algorithm that translates the command signals into a first type of control signal for directing the motorized base to move, and a second type of control signal for directing the dual arm robot to move. 1. A robotic assistant , comprising:a motorized base having at least two motor driven wheels controlled by a first control platform;a dual arm robot mounted on the motorized base, the dual arm robot having a first arm and a second arm controlled by a second control platform;a remote sip and puff mouth controller having at least three degrees of operational input; anda computer system that receives command signals from the remote sip and puff mouth controller, and includes a control system that coordinates movement of the motorized base and the robot arms by translating the command signals into a first type of control signal for directing the motorized base to move, and into a second type of control signal for directing the dual arm robot to move.2. The robotic assistant of claim 1 , wherein the coordinated movement is determined based on user manipulation of a selected frame.3. The robotic assistant of claim 1 , wherein the motorized base comprises a retrofitted power wheelchair that includes a horizontally oriented adapter plate mounted thereon that is adapted to secure the dual arm robot.4. The robotic assistant of claim 1 , wherein the dual arm robot includes at least 6 degrees of operational freedom for each arm ...

Customer service robot and related systems and methods

A robot for providing customer service within a facility includes a locomotion platform, an upper sensor for detecting objects within an upper field of view of the robot, a lower sensor for detecting objects within a lower field of view of the robot, a display and a robot computer in communication with the locomotion platform, the upper sensor and the lower sensor. The robot computer is configured to detect the presence of a customer within the facility based on information received from at least one of the upper sensor and lower sensor, and the robot computer is further configured to access one or more databases storing information associated with products available to customers within the facility and to provide customer service to the customer based on the accessed information.

CUSTOMER SERVICE ROBOT AND RELATED SYSTEMS AND METHODS

A robot for providing customer service within a facility includes a locomotion platform, an upper sensor for detecting objects within an upper field of view of the robot, a lower sensor for detecting objects within a lower field of view of the robot, a display and a robot computer in communication with the locomotion platform, the upper sensor and the lower sensor. The robot computer is configured to detect the presence of a customer within the facility based on information received from at least one of the upper sensor and lower sensor, and the robot computer is further configured to access one or more databases storing information associated with products available to customers within the facility and to provide customer service to the customer based on the accessed information. 1: A robot for providing services of inventory management and customer assistance within a facility , comprising:a locomotion platform;multiple sensors for detecting objects each within a field of view of the robot;a display; anda robot computer in communication with the locomotion platform, the sensors, the computer having a processor and computer-readable memory, wherein the robot computer is configured to detect the presence of a customer within the facility based on information received from at least one of the sensors, and the robot computer is further configured to access at least one digital inventory database storing inventory information associated with products available to a customer within the facility and to provide customer service to the customer based on the accessed information, wherein the robot computer uses at least one of its sensors to determine an inventory of products within the facility.2: The robot of claim 1 , wherein the robot computer is further configured to receive commands from an operator at a remotely-located support station and to operate based on the received commands.3: The robot of claim 2 , wherein the robot computer is further configured to provide ...

INTELLIGENT SERVICE ROBOT AND RELATED SYSTEMS AND METHODS

A robot for providing intelligent service within a facility includes a locomotion platform, an upper sensor for detecting objects within an upper field of view of the robot, a lower sensor for detecting objects within a lower field of view of the robot, a display and a robot computer in communication with the locomotion platform, the upper sensor and the lower sensor. The robot computer is configured to inventory products within the commercial facility and provide inventory discrepancy data to a user at a computing station. 1. A robot for providing intelligent service within a commercial facility , comprising:a locomotion platform;an upper sensor for detecting objects within an upper field of view of the robot;a lower sensor for detecting objects within a lower field of view of the robot;a display; anda robot computer in communication with the locomotion platform, the upper sensor and the lower sensor, the computer having a processor and computer-readable memory, wherein the robot computer is configured to inventory products within the commercial facility.2. The robot of claim 1 , wherein the robot computer is further configured to receive commands from an operator at a remotely-located support station and to operate based on the received commands.3. The robot of claim 2 , wherein the robot computer is further configured to inventory products within the commercial facility by:capturing a visual record of products within the commercial facility; andprocessing the visual record of the products to determine a quantity of the products within the commercial facility; andcompare the determined quantity of products to an inventory record.4. The robot of claim 1 , further comprising a computing center in communication with the robot computer claim 1 , wherein the computing center has a digital inventory database accessible to the robot computer.5. The robot of claim 1 , wherein the robot computer is further configured to navigate within the commercial facility using a map ...

INTELLIGENT INVENTORY MANAGEMENT AND RELATED SYSTEMS AND METHODS

An intelligent system for performing inventory management within a facility includes at least one imaging sensor, a transmitter for sending inventory information to a database, a receiver for receiving information from a database, and a computer in communication with the locomotion platform, at least one imaging sensor, the transmitter, and the receiver. The computer is configured to capture inventory images from the at least one imaging sensor, detect inventory by comparing captured inventory images with stored inventory images, determine inventory information, determine a confidence level for the inventory information, and communicate at least a portion of the inventory information to the database. In one embodiment, the system includes a robot having a locomotion platform, the at least one imaging sensor, the transmitter, the receiver, and the computer. 1. A robot for performing inventory management within a commercial facility , comprising:a locomotion platform;at least one imaging sensor;a transmitter for sending inventory information to a database;a receiver for receiving inventory information from a database; and capture inventory images from the at least one imaging sensor,', 'detect inventory by comparing captured inventory images with stored inventory images,', 'determine inventory information,', 'determine a confidence level for the inventory information, and', 'communicate at least a portion of the inventory information to the database., 'a robot computer in communication with the locomotion platform, the at least one imaging sensor, the transmitter, and the receiver, the robot computer having a processor and computer-readable memory, wherein the robot computer is configured to2. The robot of claim 1 , shaped as an aerial drone claim 1 , wherein the locomotion platform comprises at least one set of propellers.3. The robot of claim 1 , comprising at least one visible spectrum imaging sensor and at least one non-visible spectrum imaging sensor.4. The robot ...

Customer service robot and related systems and methods

A robot for providing customer service within a facility includes a locomotion platform, an upper sensor for detecting objects within an upper field of view of the robot, a lower sensor for detecting objects within a lower field of view of the robot, a display and a robot computer in communication with the locomotion platform, the upper sensor and the lower sensor. The robot computer is configured to detect the presence of a customer within the facility based on information received from at least one of the upper sensor and lower sensor, and the robot computer is further configured to access one or more databases storing information associated with products available to customers within the facility and to provide customer service to the customer based on the accessed information.

Deep learning on image frames to generate a summary

Techniques for automatically selecting image frames from a video and providing the selected image frames to a device for display are disclosed.

INTELLIGENT INVENTORY MANAGEMENT USING CLEANING MACHINES

A system for performing inventory management and cleaning within a commercial facility includes a mobile cleaning vehicle configured to clean a floor of the commercial facility. A computer is in communication with the cleaning vehicle, at least one imaging sensor, a transmitter, and a receiver. The computer is configured to capture inventory images from the at least one imaging sensor and detect inventory by comparing captured inventory images with stored inventory images. Inventory information is determined and a confidence level for the inventory information is determined. At least a portion of the inventory information having a confidence level above a threshold is communicated to the database. The cleaning vehicle may be a semi or fully autonomous cleaning vehicle having wheels and a floor cleaning system. 1. A vehicular system for performing inventory management and cleaning within a commercial facility , comprising:a mobile cleaning vehicle configured to clean a floor of the commercial facility;at least one imaging sensor;a transmitter for sending inventory information to a database;a receiver for receiving inventory information from a database; and capture inventory images from the at least one imaging sensor,', 'detect inventory by comparing captured inventory images with stored inventory images;', 'determine inventory information;', 'determine a confidence level for the inventory information, wherein the confidence level is determined based on at least a type of inventory items detected and a number of inventory items detected; and', 'communicate at least a portion of the inventory information having a confidence level above a threshold to the database., 'a computer in communication with the mobile cleaning vehicle, the at least one imaging sensor, the transmitter, and the receiver, the computer having a processor and computer-readable memory, wherein the computer is configured to2. The vehicular system of claim 1 , wherein the at least one imaging sensor ...

METHODS AND APPARATUS FOR WIRELESS INVENTORY DETERMINATIONS

Methods and apparatus for making wireless inventory determinations are disclosed. An apparatus includes a signal generator, which generates a millimeter wave signal having an initial frequency substantially between 30 GHz and 300 GHz, and a transmitter in communication with the signal generator. The transmitter transmits the millimeter wave signal to at least one inventory item in a commercial facility. The transmitted millimeter wave signal is reflected off of the inventory item. A receiver receives a reflected millimeter wave signal from the at least one inventory item. A processor is in communication with the receiver and the signal generator. The processor determines at least one of: a location, count, orientation, and type of the at least one inventory item by using the reflected millimeter wave signal. The determination is based on a comparison of the reflected millimeter wave signal with the transmitted millimeter wave signal. 1. An apparatus comprising:a signal generator, generating a millimeter wave signal having an initial frequency substantially between 30 GHz and 300 GHz;a transmitter, transmitting the millimeter wave signal to at least one inventory item in a commercial facility, wherein the transmitted millimeter wave signal is reflected off of the at least one inventory item, and wherein the transmitter is in communication with the signal generator;a receiver, receiving a reflected millimeter wave signal from the at least one inventory item; anda processor in communication with the receiver and the signal generator, wherein the processor determines at least one of: a location, a count, an orientation, and a type of the at least one inventory item using the reflected millimeter wave signal, wherein the determination is based on a comparison of the reflected millimeter wave signal with the transmitted millimeter wave signal.2. The apparatus of claim 1 , wherein the millimeter wave signal further has at least a second frequency different from the initial ...

Customer service robot and related systems and methods

Intelligent service robot and related systems and methods

A robot for providing intelligent service within a facility includes a locomotion platform, an upper sensor for detecting objects within an upper field of view of the robot, a lower sensor for detecting objects within a lower field of view of the robot, a display and a robot computer in communication with the locomotion platform, the upper sensor and the lower sensor. The robot computer is configured to inventory products within the commercial facility and provide inventory discrepancy data to a user at a computing station.

Deep learning on image frames to generate a summary

Techniques for automatically selecting image frames from a video and providing the selected image frames to a device for display are disclosed.

Deformable neural radiance fields

Techniques of image synthesis using a neural radiance field (NeRF) includes generating a deformation model of movement experienced by a subject in a non-rigidly deforming scene. For example, when an image synthesis system uses NeRFs, the system takes as input multiple poses of subjects for training data. In contrast to conventional NeRFs, the technical solution first expresses the positions of the subjects from various perspectives in an observation frame. The technical solution then involves deriving a deformation model, i.e., a mapping between the observation frame and a canonical frame in which the subject's movements are taken into account. This mapping is accomplished using latent deformation codes for each pose that are determined using a multilayer perceptron (MLP). A NeRF is then derived from positions and casted ray directions in the canonical frame using another MLP. New poses for the subject may then be derived using the NeRF.

Deep learning on image frames to generate a summary

Techniques for automatically selecting image frames from a video and providing the selected image frames to a device for display are disclosed.

Gas-oil ratio forecasting in unconventional reservoirs

An apparatus for estimating a gas-oil ratio for a well in an unconventional reservoir comprises a processor associated with a control system. The processor is configured to determine a bottomhole pressure for the well. The processor is further configured to determine one or more pressure, volume, and temperature (PVT) properties associated with fluid flow and to determine transient well performance. The processor is further configured to determine a Productivity Index (PI) for the well for a plurality of time steps and to determine an inflection point. The processor is further configured to estimate the gas-oil ratio of the well after the inflection point based on the determined transient well performance and to perform the fluid production rate forecast based on the determined PI. The processor is further configured to apply the fluid production rate forecast to the estimated gas-oil ratio to determine an instantaneous gas-oil ratio.

Deformable neural radiance fields

Techniques of image synthesis using a neural radiance field (NeRF) includes generating a deformation model of movement experienced by a subject in a non-rigidly deforming scene. For example, when an image synthesis system uses NeRFs, the system takes as input multiple poses of subjects for training data. In contrast to conventional NeRFs, the technical solution first expresses the positions of the subjects from various perspectives in an observation frame. The technical solution then involves deriving a deformation model, i.e., a mapping between the observation frame and a canonical frame in which the subject's movements are taken into account. This mapping is accomplished using latent deformation codes for each pose that are determined using a multilayer perceptron (MLP). A NeRF is then derived from positions and casted ray directions in the canonical frame using another MLP. New poses for the subject may then be derived using the NeRF.

Deformable neural radiance fields

Techniques of image synthesis using a neural radiance field (NeRF) includes generating a deformation model of movement experienced by a subject in a non-rigidly deforming scene. For example, when an image synthesis system uses NeRFs, the system takes as input multiple poses of subjects for training data. In contrast to conventional NeRFs, the technical solution first expresses the positions of the subjects from various perspectives in an observation frame. The technical solution then involves deriving a deformation model, i.e., a mapping between the observation frame and a canonical frame in which the subject's movements are taken into account. This mapping is accomplished using latent deformation codes for each pose that are determined using a multilayer perceptron (MLP). A NeRF is then derived from positions and casted ray directions in the canonical frame using another MLP. New poses for the subject may then be derived using the NeRF.