Ai Incorporated

Other

Bobsweep Inc

Al Incorporated

Ali Ebrahimi Afrouzi

Shahin Fathi Djalali

Chen Zhang

Lukas Fath

Soroush Mehrnia

Lukas Robinson

Brian Highfill

Azadeh Afshar Bakooshli

Sebastian Schweigert

Masih Ebrahimi Afrouzi

Amin Ebrahimi Afrouzi

Andrew Francis Fitzgerald

Chin Pang Alfred Kwan

Masoud Nasiri Sarvi

Scott McDonald

Michael Patrick Phillips

Renee Bautista

Alexander Douglas Powers

Alex Powers

Hao Yuan

Nema Link

Sebastian Christopher Daub Schweigert

Nema Lankarani

Alexander Powers

A method for an autonomous robot to empty refuse. A sensor positioned on the robot captures sensor data of an environment of the robot as the robot navigates within the environment and a processor of the robot generates a map of the environment based on at least the sensor data. The processor receives a schedule for emptying refuse stored in a container of the robot at a refuse collection location from an application of a communication device. The processor determines a path of the robot from a storage location of the robot to the refuse collection location and actuates the robot to autonomously drive along the path according to the schedule.

Autonomous refuse container

A method for operating a mopping robot, including: storing, with a liquid reservoir disposed on the robot, liquid; releasing, with an electronically-controlled liquid release mechanism disposed on the robot, liquid from the liquid reservoir onto a work surface; receiving, with an application of a communication device, user input designating at least a schedule for mopping and a quantity of liquid to release during mopping of an area; determining, with a processor of the robot, a schedule for mopping at least one area based on at least one of first sensor data or the user input provided to the application; and determining, with the processor of the robot, a quantity of liquid to release during mopping of the at least one area based on at least one of second sensor data or the user input provided to the application.

Robotic floor cleaning device with motor for controlled liquid release

Provided is a system for robotic collaboration. A first robotic device executes a first action and a second robotic device executes a second action upon the first robotic device completing the first action. An application of a communication device is paired with the first robotic device and the second robotic device. The application is configured to receive at least one input designating, for example, a hitting speed of a tennis ball, a hitting direction of a tennis ball, a unique tag of a subarea in a map of an environment, a task schedule of the first robotic or second robotic device, a driving speed, a selection of a particular user profile, an instruction to drive to a user-identified location, an instruction to turn in a left or right direction, an instruction to drive forwards or backwards, an instruction to stop moving, etc.

Tennis playing robotic device

Provided is a tangible, non-transitory, machine readable medium storing instructions that when executed by a processor effectuates operations including: capturing, with at least one exteroceptive sensor, readings of an environment and capturing, with at least one proprioceptive sensor, readings indicative of displacement of a wheeled device; estimating, with the processor using an ensemble of simulated positions of possible new locations of the wheeled device, the readings of the environment, and the readings indicative of displacement, a corrected position of the wheeled device to replace a last known position of the wheeled device; determining, by the processor using the readings of the exteroceptive sensor, a most feasible position of the wheeled device as the corrected position; and, transmitting, by the processor, status information of tasks performed by the wheeled device to an external processor, wherein the status information initiates a second wheeled device to perform a second task.

Versatile mobile platform

An autonomous mobile robotic device that may carry and transport one or more items within an environment. The robotic device may comprise a container within which the one or more items may be stored. The robotic device may pick up and deliver the one or more items to one or more locations. The robotic device may be provided with scheduling information for task execution or pickup and delivery of one or more items. Once tasks are complete, the robotic device may autonomously navigate to a storage location.

Autonomous mobile robotic device for the transportation of items

Provided is a system including a robot and an application of a communication device. The robot includes a medium storing instructions that when executed by a processor of the robot effectuate operations including: obtaining first data indicative of a relative position of the robot in a workspace; actuating the robot to drive within the workspace to form a map including mapped perimeters that correspond with physical perimeters of the workspace while obtaining second data indicative of movement of the robot; and forming the map of the workspace based on at least some of the first data, wherein the map of the workspace expands as new first data are obtained, until all perimeters of the workspace are included in the map. The application is configured to display information, such as the map, and receive user input.

Methods for finding the perimeter of a place using observed coordinates

A delivery system, including a robot and an application of a communication device. The robot includes a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: receiving, with the processor, a first location to deliver the one or more items to; obtaining, with the processor, first data of an environment captured by a camera disposed on the robot; detecting, with the processor, at least one object in the environment based on at least the first data; actuating, with the processor, the robot to drive around the at least one object; and actuating, with the processor, the robot to transport the one or more items to the first location while avoiding collision with objects detected in the environment.

Autonomous versatile vehicle system

Provided is a medium storing instructions that when executed by a processor of a robot effectuate operations including: capturing, with a camera, a plurality of images of a working environment; obtaining image data of a first image and image data of a second image; determining an overlapping area of a field of view of the first image and a field of view of the second image by comparing the image data of the first image and the image data of the second image; spatially aligning the image data of the first image and the image data of the second image based on the overlapping area to construct a floor plan; inferring a geometry of the working environment based on image data corresponding with the plurality of images used in constructing the floor plan; and determining a path of the robot based on the floor plan.

Method and apparatus for combining data to construct a floor plan

Provided is an autonomous mobile robotic device that may carry, transport, purchase and deliver one or more items for purchase in a work environment. The robotic device may include a container within which the one or more items may be placed. Once tasks are complete, the robotic device may autonomously navigate to a predetermined location.

Autonomous shopping device

Some aspects include a method for operating a wheeled device, including: capturing, by a primary sensor coupled to the wheeled device, primary sensor data indicative of a plurality of radial distances to objects; transforming, by a processor of the wheeled device, the plurality of radial distances from a perspective of the primary sensor to a perspective of the wheeled device; generating, by the processor, a partial map of visible areas in real-time at a first position of the wheeled device based on the primary sensor data and some secondary sensor data, wherein: the partial map is a bird's eye view; and the processor iteratively completes a full map of the environment based on new sensor data captured by sensors as the wheeled device performs work within the environment and new areas become visible to the sensors; and executing, by the wheeled device, a movement path to a second position.

Method of lightweight simultaneous localization and mapping performed on a real-time computing and battery operated wheeled device

Some aspects provide a media storing instructions that when executed by a processor of a robot effectuates operations including: capturing first data indicative of a position of the robot relative to objects within the workspace and second data indicative of movement of the robot; generating or updating a map of the workspace based on at least one of: at least a part of the first data and at least a part of the second data; segmenting the map into a plurality of zones; transmitting the map to an application of a communication device; receiving an updated map; generating a movement path based on the map or the updated map; and actuating the robot to traverse the movement path.

Methods and systems for robotic surface coverage

Provided is a bumper apparatus of a robot, including: a bumper elastically coupled with a chassis of the robot; at least one sensor configured to sense object impacts with the bumper; and at least one elastic element coupled to or interfacing with the chassis and coupled to or interfacing with the bumper; wherein: the at least one elastic element facilitates movement of the bumper relative to the chassis upon impact with an object and disengagement from the object after impact; the at least one elastic element facilitates a return of the bumper to a neutral position upon disengaging from the object after impact; and the bumper covers at least a front side of the chassis.

Integrated bumper

Provided is a device, comprising: a smart gym equipment, comprising: one or more sensors; one or more actuators; one or more electric magnets; a processor; and a tangible, non-transitory, machine-readable media storing instructions that when executed by the processor effectuates operations comprising: adjusting resistance in continuous amounts during a weight-lifting training in relation to a pulled distance of a weight value, wherein a change of the weight value is proportional to the pull distance; and the weight value is adjusted by an adjustment in an electrical current flowing through a wire in the smart gym equipment thereby adjusting a strength of a magnetic field; wherein: the processor determines a value for the electrical current; the adjustment in the electrical current based on at least one sensed data; and the device receives and transmits data to an application of a communication device paired with the device.

Smart gym equipment

Provided is a system for robotic collaboration, including a first robotic chassis including a memory storing instructions that when executed a processor effectuates operations including capturing data of an environment and data indicative of movement, generating a first map of the environment based on the captured data, and the robot executing a first part of a task. The system also includes a second robot including a memory storing instructions that when executed by a processor effectuates operations including capturing data of an environment and the second robot executing a second part of the task after the first robot completes the first part of the task, the completion of the first part of the task being indicated by a signal received with the processor of the second robot.

Methods and systems for constructing a map of an environment. One or more sensory devices installed on an autonomous vehicle take readings within a field of view of the sensory device. As the vehicle moves within the environment, the sensory device continuously takes readings within new fields of view. At the same time, sensory devices installed on other autonomous vehicles operating within the same environment and/or fixed devices monitoring the environment take readings within their respective fields of view. The readings recorded by a processor of each autonomous vehicle may be shared with all other processors of autonomous vehicles operating within the same environment with whom a data transfer channel is established. Processors combine overlapping readings to construct continuously growing segments of the map. Combined readings are taken by the same sensory device or by different sensory devices and are taken at the same time or at different times.

Growing community of inventors

San Jose, CA, United States of America

Ali Ebrahimi Afrouzi