Ai Incorporated

Other

Brian Highfill

Ali Ebrahimi Afrouzi

Lukas Fath

Chen Zhang

Amin Ebrahimi Afrouzi

Lukas Robinson

Shahin Fathi Djalali

Azadeh Afshar Bakooshli

Masih Ebrahimi Afrouzi

Andrew Francis Fitzgerald

Soroush Mehrnia

Nema Link

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

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

A method for operating a robot, including: capturing images of a workspace; capturing data indicative of movement of the robot; capturing LIDAR data as the robot moves within the workspace; generating a map of the workspace based on the LIDAR data; actuating the robot to drive; discriminating between an object on a floor surface along a path of the robot and the floor surface based on the captured images; actuating the robot to drive until determining all areas of the workspace are discovered and included in the map; and executing a cleaning function.

Obstacle recognition method for autonomous robots

A robotic device including a medium storing instructions that when executed by a processor effectuates operations including: capturing images and sensor data of an environment as the robotic device drives back and forth in straight lines; generating or updating a map of the environment based on at least one of the one or more images and the sensor data; recognizing one or more rooms in the map based on at least one of the one or more images and the sensor data; determining at least one of a position and an orientation of the robotic device relative to the environment based on at least one of the one or more images and the sensor data; and actuating the robotic device to adjust a heading of the robotic device based on the at least one of the position and the orientation of the robotic device relative to the environment.

System and method for guiding heading of a mobile robotic device

Provided is a robotic device, including: a chassis; a set of wheels; a control system; a battery; one or more sensors; a processor; a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with the one or more sensors, data of an environment of the robotic device and data indicative of movement of the robotic device; generating or updating, with the processor, a map of the environment based on at least a portion of the captured data; and generating or updating, with the processor, a movement path of the robotic device.

Robotic fire extinguisher

Provided is a medium storing instructions that when executed by a processor of a first wheeled device effectuates operations including: capturing sensor readings of an environment; finding a position of the first wheeled device within a map of the environment based on at least some of the sensor readings; and generating a new map of the environment when the processor is unable to load the previously generated map or cannot find the position of the first wheeled device within the previously generated map; wherein: the map is previously generated with the processor of the first wheeled device or a processor of a second wheeled device; the map is loaded into a memory of the first wheeled device at a beginning of each work session; and the processor of the first wheeled device iteratively tracks the position of the first wheeled device while performing a task.

Simultaneous collaboration, localization, and mapping

Provided is a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing visual readings to objects within an environment; capturing readings of wheel rotation; capturing readings of a driving surface; capturing distances to obstacles; determining displacement of the robotic device in two dimensions based on sensor readings of the driving surface; estimating, with the processor, a corrected position of the robotic device to replace a last known position of the robotic device; determining a most feasible element in an ensemble based on the visual readings; and determining a most feasible position of the robotic device as the corrected position based on the most feasible element in the ensemble and the visual readings.

Method for tracking movement of a mobile robotic device

A system for collaboration between a first robot and a second robot, including: an application of a communication device configured to receive at least one input designating an instruction for the first robot to execute a first task and an instruction for the second robot to execute a second task after the first robot completes the first task; the first robot, including a medium storing instructions that when executed by a processor of the first robot effectuates operations including: actuating the first robot to execute the first task; and actuating the first robot to dock at a charging station upon completion of the first task; and the second robot including a medium storing instructions that when executed by a processor of the second robot effectuates operations including actuating the second robot to execute the second task upon receiving a signal indicating the first task is complete by the first robot.

Collaborative intelligence of artificial intelligence agents

Provided is a method for operating a robot, including: capturing images of a workspace; capturing movement data indicative of movement of the robot; capturing LIDAR data as the robot performs work within the workspace; comparing at least one object from the captured images to objects in an object dictionary; identifying a class to which the at least one object belongs; generating a first iteration of a map of the workspace based on the LIDAR data; generating additional iterations of the map based on newly captured LIDAR data and newly captured movement data; actuating the robot to drive along a trajectory that follows along a planned path by providing pulses to one or more electric motors of wheels of the robot; and localizing the robot within an iteration of the map by estimating a position of the robot based on the movement data, slippage, and sensor errors.

Some embodiments include a robot, including: a chassis; a set of wheels coupled to the chassis; at least one encoder coupled to a wheel with a resolution of at least one count for every ninety degree rotation of the wheel; a trailing arm suspension coupled to each drive wheel for overcoming surface transitions and obstacles, wherein a first suspension arm is positioned on a right side of a right drive wheel and a second suspension arm is positioned on a left side of a left drive wheel; a roller brush; a collection bin; a fan with multiple blades for creating a negative pressure resulting in suction of dust and debris; a network card for wireless communication with at least one of: a computing device, a charging station, and another robot; a plurality of sensors; a processor; and a media storing instructions that when executed by the processor effectuates robotic operations.

Cleaning robot and operation thereof

Some aspects include a method for operating a cleaning robot, including: capturing LIDAR data; generating a first iteration of a map of the environment in real time; capturing sensor data from different positions within the environment; capturing movement data indicative of movement of the cleaning robot; aligning and integrating newly captured LIDAR data with previously captured LIDAR data at overlapping points; generating additional iterations of the map based on the newly captured LIDAR data and at least some of the newly captured sensor data; localizing the cleaning robot; planning a path of the cleaning robot; and actuating the cleaning robot to drive along a trajectory that follows along the planned path by providing pulses to one or more electric motors of wheels of the cleaning robot.

Light weight and real time slam for robots

Provided is provide a robotic device, including: a chassis; a set of wheels; a control system; a battery; one or more sensors; a processor; a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with the one or more sensors, data of an environment of the robotic device and data indicative of movement of the robotic device; generating or updating, with the processor, a map of the environment based on at least a portion of the captured data; and generating or updating, with the processor, a movement path of the robotic device based on at least the map of the environment.

A robotic device, including a tangible, non-transitory, machine readable medium storing instructions that when executed by a processor effectuates operations including: capturing, with the camera, one or more images of an environment of the robotic device; capturing, with the plurality of sensors, sensor data of the environment; generating or updating, with the processor, a map of the environment; identifying, with the processor, one or more rooms in the map; receiving, with the processor, one or more multidimensional arrays including at least one parameter that is used to identify a feature included in the one or more images; determining, with the processor, a position and orientation of the robotic device relative to the feature; and transmitting, with the processor, a signal to the processor of the controller to adjust a heading of the robotic device.

A robotic surface cleaning device is provided, including a casing, a chassis, a set of wheels coupled to the chassis to drive the robotic surface cleaning device, a control system to instruct movement of the set of wheels, a battery to provide power to the robotic surface cleaning device, one or more sensors, a processor, rotating assembly, including a plate supported by a base of the casing, rotating mechanism to rotate the plate; and one or more cleaning apparatuses mounted to a first side of the plate.

Robotic vacuum with rotating cleaning apparatus

Provided is a robot including: a chassis; wheels; electric motors; a network card; sensors; a processor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with at least one exteroceptive sensor, a first image and a second image; determining, with the processor, an overlapping area of the first image and the second image by comparing the raw pixel intensity values of the first image to the raw pixel intensity values of the second image; combining, with the processor, the first image and the second image at the overlapping area to generate a digital spatial representation of the environment; and estimating, with the processor using a statistical ensemble of simulated positions of the robot, a corrected position of the robot to replace a last known position of the robot within the digital spatial representation of the environment.

Growing community of inventors

Castro Valley, CA, United States of America

Brian Highfill