Abstract: 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.

Abstract: Provided is a method including: capturing, with at least one sensor of a robot, first data indicative of the position of the robot in relation to objects within the workspace and second data indicative of movement of the robot; recognizing, with a processor of the robot, a first area of the workspace based on observing at least one of: a first part of the first data and a first part of the second data; generating, with the processor of the robot, at least part of a map of the workspace based on at least one of: the first part of the first data and the first part of the second data; generating, with the processor of the robot, a first movement path covering at least part of the first recognized area; actuating, with the processor of the robot, the robot to move along the first movement path.

Abstract: 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.

Abstract: Provided is an autonomous versatile robotic chassis, including: a chassis; a set of wheels coupled to the chassis; one or more motors to drive the set of wheels; at least one storage compartment within which one or more items for delivery are placed during transportation; a processor; one or more sensors; a camera; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: generating, with the processor, a map of an environment; localizing, with the processor, the robotic chassis; receiving, with the processor, a request for delivery of the one or more items to a first location; generating, with the processor, a movement path to the first location from a current location; and instructing, with the processor, the robotic chassis to transport the one or more items to the first location by navigating along the movement path.

Abstract: Provided is a medium storing instructions that when executed by one or more processors effectuate operations including: obtaining a stream of spatial data indicative of a robot's position in a workspace; obtaining a stream of movement data indicative of the robot's displacement in the workspace; navigating along a path of the robot in the workspace based on the stream of spatial data; while navigating, mapping at least part of the workspace based on the stream of spatial data to form or update a spatial map in memory; wherein the spatial map expands as new areas of the workspace are covered by the robot and spatial data of the new areas of the workspace are obtained and used by the one or more processors to update the spatial map; and wherein the spatial map of the workspace is segmented into two or more zones.

Abstract: A fleet of delivery robots, each including: a chassis; a storage compartment within which items are stored for transportation; a set of wheels coupled to the chassis; at least one sensor; a processor electronically coupled to the control system and the at least one sensor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with the at least one sensor, data of an environment and data indicative of movement of the respective delivery robot; generating or updating, with the processor, a first map of the environment based on at least a portion of the captured data; inferring, with the processor, a current location of the respective delivery robot; and actuating, with the processor, the respective delivery robot to execute a delivery task including transportation of at least one item from a first location to a second location.

Abstract: 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.

Abstract: Provided is a tangible, non-transitory, machine readable medium storing instructions that when executed by a processor of a robotic device effectuates operations including, receiving, by the processor, a sequence of one or more commands; executing, by the robotic device, the sequence of one or more commands; saving, by the processor, the sequence of one or more commands in memory after a predetermined amount of time from receiving a most recent one or more commands; and re-executing, by the robotic device, the saved sequence of one or more commands.

Abstract: 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.

Abstract: Provided is a vibrating filter mechanism, including: a power source; a metal wire attached on both ends to the power source; a filter; a connector coupled with the filter and interfacing with the metal wire; and a first permanent magnet; wherein: the power source delivers electric current pulses in alternating directions through the metal wire; and the first permanent magnet is positioned in a location where a magnetic field of the first permanent magnet and a magnetic field of the metal wire interact and cause vibration of the metal wire and the coupled filter.

Abstract: Provided is a method including emitting, with a laser light emitter disposed on a robot, a collimated laser beam projecting a light point on a surface opposite the laser light emitter; capturing, with each of at least two image sensors disposed on the robot, images of the projected light point; overlaying, with a processor of the robot, the images captured by the at least two image sensors to produce a superimposed image showing both captured images in a single image; determining, with the processor of the robot, a first distance between the projected light points in the superimposed image; and determining, with the processor, a second distance based on the first distance using a relationship that relates distance between light points with distance between the robot or a sensor thereof and the surface on which the collimated laser beam is projected.

Abstract: Provided is an autonomous hospital bed including: a frame; wheels; motors to drive the wheels; a controller in communication with the motors; sensors; a processor; a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuate operations including: capturing, with the sensors, depth data indicating distances to objects within an environment of the hospital bed and directions of the distances; capturing, with the sensors, movement data indicating movement distance and direction of the hospital bed; generating, with the processor, a map of the environment using the depth and movement data; generating, with the processor, a movement path to a first location; instructing, with the processor, motor drivers of the wheels to move the hospital bed along the movement path; and, inferring, with the processor, a location of the hospital bed within the environment as the hospital bed navigates along the movement path.

Abstract: 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.

Abstract: Provided is a process that includes: obtaining a first version of a map of a workspace; selecting a first undiscovered area of the workspace; in response to selecting the first undiscovered area, causing the robot to move to a position and orientation to sense data in at least part of the first undiscovered area; and obtaining an updated version of the map mapping a larger area of the workspace than the first version.

Abstract: 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.

Abstract: Provided is a process executed by a robot, including: traversing, to a first position, a first distance in a backward direction; after traversing the first distance, rotating in a first rotation; after the first rotation, traversing, to a second position, a second distance in a third direction; after traversing the second distance, rotating 180 degrees in a second rotation such that the field of view of the sensor points in a fourth direction; after the second rotation, traversing, to a third position, a third distance in the fourth direction; after traversing the second distance, rotating 180 degrees in a third rotation such that the field of view of the sensor points in the third direction; and after the third rotation, traversing, to a fourth position, a fourth distance in the third direction.

Abstract: A robot adapted to capture a plurality of data; perceive a model of the environment based on the plurality of data; determine areas within which work was performed and areas within which work is yet to be performed; store the model of the environment in a memory accessible to the processor; and transmit the model of the environment and a status of the robot to an application of a smartphone previously paired with the robot.

Abstract: Provided is a method for operating a robot, including capturing images of a 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 using an object classification unit, instructing the robot to execute at least one action based on the object class identified, capturing movement data of the robot, and generating a planar representation of the workspace based on the captured images and the movement data, wherein the captured images indicate a position of the robot relative to objects within the workspace and the movement data indicates movement of the robot.

Abstract: Provided is a robotic device, including: a chassis; a set of wheels; one or more motors to drive the set of wheels; a suspension system; a controller in communication with the one or more motors; at least one sensor; a camera; one or more processors; a tangible, non-transitory, machine readable medium storing instructions that when executed by the one or more processors effectuate operations including: capturing, with the camera, spatial data of surroundings; generating, with the one or more processors, a spatial model of the surroundings based on the spatial data; generating, with the one or more processors, a movement path based on the spatial model of the surroundings; inferring, with the one or more processors, a location of the robotic device; and updating, with the one or more processors, the movement path to exclude locations of the movement path that the robotic device has previously been located.

Abstract: 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; inferring, with the one or more processors of the robotic device, a current location of the robotic device, and generating or updating, with the processor, a movement path of the robotic device based on at least the map of the environment, at least a portion of the captured data, and the inferred current location of the robotic device.