Autonomous vehicles are capable of executing missions that abide by on-street rules or regulations, while also being able to seamlessly transition to and from zones, including off-street zones, with their our set(s) of rules or regulations. An on-board memory stores roadgraph information. An on-board computer is operative to execute commanded driving missions using the roadgraph information, including missions with one or more zones, each zone being defined by a sub-roadgraph with its own set of zone-specific driving rules and parameters. A mission may be coordinated with one or more payload operations, including zone with free drive paths as in a warehouse facility with loading and unloading zones to pick up payloads and place them down, or zone staging or entry points to one or more points of payload acquisition or placement. The vehicle may be a warehousing vehicle such as a forklift.

Autonomous vehicles are capable of executing missions that abide by on-street rules or regulations, while also being able to seamlessly transition to and from zones, including off-street zones, with their our set(s) of rules or regulations. An on-board memory stores roadgraph information. An on-board computer is operative to execute commanded driving missions using the roadgraph information, including missions with one or more zones, each zone being defined by a sub-roadgraph with its own set of zone-specific driving rules and parameters. A mission may be coordinated with one or more payload operations, including zone with free drive paths as in a warehouse facility with loading and unloading zones to pick up payloads and place them down, or zone staging or entry points to one or more points of payload acquisition or placement. The vehicle may be a warehousing vehicle such as a forklift.

The present disclosure relates to a moving robot, a moving robot system, and a method for moving to a charging system of the moving robot, wherein the moving robot moves to the charging system based on a reception result obtained by receiving a plurality of transmission signals transmitted from the charging station and a sensing result obtained by sensing a magnetic field state.

A position detector is supported to be movable between a first position and a second position lower than the first position. A mounting stay is below the position detector when the position detector is in the first position, and, when the position detector is rotated together with the mounting stay from a state in which the position detector is in the first position, the position detector is moved to the second position and the mounting stay is positioned above the position detector in the second position and covers over the position detector so as to restrain the automatic steering control.

A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

A computer-implemented method for controlling a vehicle includes receiving, via a processor, from two or more IX control devices disposed at a two or more stationary positions having known latitudes longitudes and orientations, first sensory data identifying the position and dimensions of a feature in a mapped region. The processor generates a plurality of IX nodes based on the first sensory data received from the IX control devices, and receives LiDAR point cloud that includes LiDAR and other vehicle sensory device data such as Inertial Measurement Unit (IMU) data received from a Vehicle (AV) driving in the mapped region. The LiDAR point cloud includes a simultaneous localization and mapping (SLAM) map having second dimension information and second position information associated with the feature in the mapped region. The processor generates, without GPS and/or real-time kinematics information, an optimized High-Definition (HD) map having Absolute accuracy using batch optimization and map smoothing.

A computer-implemented method for controlling a vehicle includes receiving, via a processor, from two or more IX control devices disposed at a two or more stationary positions having known latitudes longitudes and orientations, first sensory data identifying the position and dimensions of a feature in a mapped region. The processor generates a plurality of IX nodes based on the first sensory data received from the IX control devices, and receives LiDAR point cloud that includes LiDAR and other vehicle sensory device data such as Inertial Measurement Unit (IMU) data received from a Vehicle (AV) driving in the mapped region. The LiDAR point cloud includes a simultaneous localization and mapping (SLAM) map having second dimension information and second position information associated with the feature in the mapped region. The processor generates, without GPS and/or real-time kinematics information, an optimized High-Definition (HD) map having Absolute accuracy using batch optimization and map smoothing.

The present disclosure relates to a moving robot system and a method for generating boundary information of the moving robot system that generates boundary information based on actual installation positions of a plurality of transmission devices when the plurality of transmission devices is installed based on map data provided from a web server.

Some embodiments may include a working machine to perform one or more work tasks in a work area, the working machine comprising: a machine localization system to localize the working machine based on perception sensor observations indicative of data embedded on one or more markers placed in the work area or proximate to the work area, wherein the working machine obtains localization data responsive to reading one or more machine-readable optical images on the one or more markers, respectively, wherein the working machine determines, using the obtained localization data, an absolute position of the working machine or one or more absolute positons of the one or more markers, respectively; and wherein the working machine performs the one or more work tasks based on the determined absolution position(s). Other embodiments may be disclosed and/or claimed.

A dock assembly is provided. The dock assembly is configured for docking with a robot. An alignment platform of said dock assembly is configured to receive a sweeper module from the robot when the robot is docked and said sweeper module disengages from the robot. The alignment platform has a plurality of cones positioned on a top side of the alignment platform. The plurality of cones are configured to engage a plurality of holes positioned on an underside of the sweeper module when the sweeper module becomes disengaged from the robot. The plurality of cones enable self-alignment of the alignment platform to the sweeper module as the plurality of cones engage the plurality of holes. The alignment platform has a plurality of support pads positioned on a bottom side of the alignment platform. The support pads are configured to rest on a plurality of bearings that permit lateral movement of the alignment platform when the plurality of cones engage the plurality of holes and the alignment platform self-aligns to the sweeper module.