Provided are a robot cleaner including: a drive part configured to apply a driving force required to drive the robot cleaner; a sensor configured to obtain at least one of information about a travel state of the robot cleaner and information about surroundings of the robot cleaner; and a controller configured to determine at least one reference trajectory on a coordinate system of a cleaning area, and to compensate for a degree to which the robot cleaner is spaced apart from the reference trajectories based on at least one of a position and an direction of the robot cleaner, which are determined based on the at least one information obtained by the sensor, and a method for controlling a travel of the robot cleaner.

A robotic cleaner may include a body, one or more driven wheels configured to urge the body across a surface to be cleaned, one or more distance sensors disposed at least partially within the body such that the one or more distance sensors face the surface to be cleaned and a processor. The one or more distance sensors may be configured to output a measure of a detection distance that extends in a direction of the surface to be cleaned. The processor may be configured to determine whether an abnormality has been detected based, at least in part, on the measure of the detection distance and may be configured to determine a first velocity estimate based, at least in part, on the detection of the abnormality.

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.

An example method includes gathering, via a first module of a first type, first simultaneous localization and mapping data and gathering, via a second module of a second type, second simultaneous localization and mapping data. The method includes generating, via a simultaneous localization and mapping module, a first map based on the first simultaneous localization and mapping data and the second simultaneous localization and mapping data, the first map being of a first map type and generating, via the simultaneous localization and mapping module, a second map based on the first simultaneous localization and mapping data and the second simultaneous localization and mapping data, the second map being of a second map type. The map of the first type is used by vehicles with module(s) of the first and/or second types and the map of the second type is used by vehicles with a module of the second type exclusively.

Embodiments of this specification provide a working map construction method and apparatus, a robot, and a storage medium. The method includes: determining a moving path of a robot when the robot moves forward as a first forward moving path; determining, after the robot moves backward, a position of the robot when the robot changes from moving backward to moving forward again as a correction position; determining an auxiliary position on the first forward moving path according to the correction position in a case that the correction position is not on the first forward moving path; and determining a correction path according to the correction position and the auxiliary position, so as to construct a working map of the robot according to the correction path and the first forward moving path.

The travel assistance apparatus includes: a first Operating System (OS) that controls execution of at least one of a first application and/or a second application, the first application being for specifying a first travel control amount of a vehicle based on first movement information on a position and a speed of an object around the vehicle, the second application being for specifying a second travel control amount of the vehicle based on second movement information on a position and a speed of the object; a second OS that controls execution of a third application for performing travel control of the vehicle based on at least one of the first travel control amount and/or the second travel control amount; and a hypervisor that is executed on a processor and controls execution of the first OS and the second OS.

A computer-implemented method for comparing generated data sequences for an at least semi-automated driving of a mobile platform, which were generated with the aid of a closed-loop simulation process, and a recorded data sequence of a trip of the mobile platform, controlled in at least semi-automated fashion, for the qualification of the control. The method includes: providing the recorded data sequence, which is based on a multiplicity of determinants, of trips of the mobile platform controlled in at least semi-automated fashion; providing a multitude of generated data sequences, which are based on the multiplicity of determinants, of simulated trips, which were generated with the aid of the closed-loop simulation process; providing similarity limits and a similarity metric for the respective determinant; comparing the recorded data sequence to each individual generated data sequence of the multitude of recorded data sequences.

Disclosed are a method and apparatus for enabling a robot to follow an object by using distance measurement data and odometry data through ultra-wideband (UWB) to estimate a relative position of a target in a robot center coordinate system. The method comprises initializing a robot's own object following algorithm according to an object following request; transmitting a single-sided two-way ranging (SS-TWR) poll message; receiving a single response message in response to the SS-TWR poll message from the object, the single response message including second odometry information of a second odometry measurement device of the object; estimating a distance to the object based on a round trip delay calculated by an SS-TWR method; predicting a position of the object based on the second odometry information and first odometry information of the first odometry measurement device; and correcting the position of the object based on the estimated distance.

A semiautonomous robot. The robot includes at least two powered locomotion devices and a monocular capture unit. The at least two locomotion devices are designed to rotate at least the capture unit about a rotational axis, which is situated in a fixed position relative to the capture unit, the capture unit and the rotational axis being set apart from each other. The robot further includes at least one control and/or regulating unit for ascertaining a distance traveled. As a function of a movement of the capture unit about the rotational axis fixed during the movement, in particular, at a known distance from the rotational axis and/or in a known orientation relative to the rotational axis, the control and/or regulating unit is configured to determine a distance conversion parameter, which is provided for ascertaining the distance traveled.

The present disclosure relates to a self-propelled robotic tool (1) and a method in a self-propelled robotic tool (1), being used to detecting lifting of the self-propelled robotic device from the ground. The method includes collecting (21) driving data (31) related to the driving of a wheel (5), collecting (23) measured inertia data from an inertial measurement unit (13), IMU, in the self-propelled robotic tool, determining (25), using an estimation function (33), a residual parameter corresponding to a differential between said measured inertia data and estimated inertia data resulting from said driving data being input to said estimation function, and determining a lifting condition based on the residual parameter.