Ai Incorporated

Other

Bobsweep Inc

Al Incorporated

Ali Ebrahimi Afrouzi

Shahin Fathi Djalali

Chen Zhang

Lukas Fath

Soroush Mehrnia

Lukas Robinson

Sebastian Schweigert

Brian Highfill

Azadeh Afshar Bakooshli

Amin Ebrahimi Afrouzi

Masih 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

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.

Method and system for collaborative construction of a map

A method for covering a work environment by a robot, including: obtaining sensor data indicative of operational hazards; generating a map based on data obtained from sensors of the robot; determining an object type of an operational hazard based on extracted features and a database of various object types and their features; generating a coverage plan for areas of the work environment; executing the coverage plan by the robot; capturing debris sensor data indicative of at least presence and absence of debris in locations within the work environment; determining areas of the work environment with a high presence of debris and a low presence of debris, wherein the map is updated to distinguish the areas with the high presence of debris and the areas with the low presence of debris.

Efficient coverage planning of mobile robotic devices

Some aspects include a method for operating an autonomous robot, including: capturing, with a first sensor disposed on the robot, data of an environment of the robot; generating, with the processor, a map of the environment based on at least the data of the environment; localizing, with the processor, the robot within the environment; capturing, with a second sensor disposed on the robot, data of a floor surface; determining, with the processor, a floor type of areas of the environment based on the data of the floor surface; and determining, with the processor, settings of the robot based on at least the floor type of the floor surface, wherein the settings comprise at least an elevation of each of at least one component of the robot from the floor surface.

Method and apparatus for overexposing images captured by drones

Some aspects include a schedule development method for a robotic floor-cleaning device that recognizes patterns in user input to automatically devise a work schedule.

Method for devising a schedule based on user input

Provided is a navigation system for a leader vehicle leading follower vehicles. The leader vehicle is configured to transmit real-time movement data to follower vehicles. The follower vehicles each include a signal receiver for receiving the data from the leader vehicle and a processor configured to determine a set of active maneuvering instructions for the respective follower vehicle based on at least a portion of the data received from the leader vehicle and actuate the respective follower vehicle to execute the set of active maneuvering instructions.

Growing community of inventors

San Jose, CA, United States of America

Ali Ebrahimi Afrouzi