A work vehicle that performs auto-steer driving in forward travel and backward travel includes a position sensor to output chronological position data of the work vehicle, a controller configured or programmed to, in an automatic steering mode, perform steering control for the work vehicle based on the chronological position data and a target path that is previously set, and a toggling switch to switch between forward travel and backward travel of the work vehicle. In the automatic steering mode, when a moving speed of the work vehicle is lower than a first speed, the controller is configured or programmed to determine a traveling direction of the work vehicle based on the chronological position data and a state of the toggling switch.

The present disclosure relates to an operation method of a computing device for performing a method for producing precise indoor maps using loop closing, including the steps of moving a robot to a first location, wherein the robot collects images and sensor data for precise map production by using a sensor module including at least one of a LiDAR sensor, an IMU sensor; forming a first closed-loop trajectory with an optimized pose graph by odometry estimation from the first location to create a first map using the movement of the robot; updating at least part of a second map generation trajectory and sensor data corresponding to a current trajectory of the robot by using at least one of trajectory information and sensor data of the first closed-loop trajectory; and outputting an updated second map based on the updated second map generation trajectory and sensor data.

A device for use with a robotic garden tool, the device including a display, a device network interface configured to allow the external device to wirelessly communicate with the robotic tool, and an electronic processor coupled to the display, the device network interface, and a memory. The electronic processor is configured to retrieve a first position of the robotic garden tool when an add start point button is selected, the first position being indicative of a first start point remote of the dock.

A robot or other device capable of movement includes a local position module and an RF communication module, the RF communication module being configured to communicate with RF anchor points to conduct one or more of navigation, positioning, exploration, tracking, and mapping. The robot or other device can include a transceiver configured to communicate with fixed location RF anchor points and a relative odometry unit. The robot or other device also can include a localization and navigation system that can conduct bearing measurements, which can be two-way bearing measurements, between the robot and one or more of the RF anchor points and integrates the bearing measurements with odometry measurements to navigate an environment of the RF anchor points.

Embodiments provided include a method that includes creating a first restriction zone for a covered environment, where the first restriction zone defines an area within which a vehicle must comply with a first policy, defining the first policy, and defining a second policy for the first restriction zone. Some embodiments include determining a location and an orientation of the vehicle, determining from the location and the orientation, that the vehicle is approaching the first restriction zone, and in response to determining that the vehicle is approaching the first restriction zone, determining whether the first policy applies to the vehicle and, in response to determining that the first policy applies to the vehicle, sending the vehicle the first policy, which causes the vehicle to adjust current operation to comply with the first policy when the vehicle enters the first restriction zone.

Embodiments provided herein include systems and methods for location-based field shaping. One embodiment of a system includes a materials handling vehicle and a computing device that are configured to receive location data via at least one of the plurality of transceiver anchors, receive sensor data from at least one sensor related to the characteristic of operation of the materials handling vehicle, and determine a first location of the materials handling vehicle in the covered environment. Some embodiments may be configured to determine a vector of movement of the materials handling vehicle, determine a shaped detection field for the materials handling vehicle from the vector of movement, and detect an object that encroaches on the shaped detection field. Some embodiments may be configured to send information to the materials handling vehicle to alter operation of the materials handling vehicle to reduce a likelihood of collision with the object.

A system and method for navigation of a robot from a first area to a second area in a facility is provided. The present disclosure is providing robot navigation using the Areagoal Navigation technique. Areagoal class of problem is divided into two subtasks: identifying the area; and navigation from one area to another. The robot starts in first location and goes out of the current area if it is not in the target area. If there are multiple openings from the first area, it needs to select the most statistically close one to the target area and go there. If the target area is not reached, it backtracks to an earlier viable branch position to continue the target area search. The system takes input from RGB-D camera and odometer, while the output is action space (left, right, forward) with goal of moving to target area.

A robot sized and shaped for reception in a pipe, the robot including a chassis configured for movement of the robot in the pipe, a plurality of sensors including an inertial measurement unit (IMU), an encoder and a stereo vison camera associated with the robot, and a sensor fusion system operable to combine readings from the IMU, the encoder and the stereo vision camera to determine a position of the robot within the pipe, and wherein the sensor fusion system is operable to use machine learning in creating a digital twin of the pipe.

A mobility platform is configured to execute one or more tasks in a worksite including a first passive landmark and a second passive landmark. The mobility platform may include a chassis, a drive system supporting the chassis, a first laser rangefinder disposed on the chassis at a first location, a second laser rangefinder disposed on the chassis at a second location, and at least one processor. The at least one processor may be configured to determine a position and orientation of the chassis based on a first distance measured by the first laser rangefinder between the first location and a first known landmark position, a second distance measured by the second laser rangefinder between the second location and a second known landmark position, and yaw angle information from at least one of the first and second laser rangefinders.

A method and system are provided for characterizing a vehicle motion of an autonomous mobile robot in response to a triggering event. The method and system involve an autonomous mobile robot and a vehicle processor operable to navigate the autonomous mobile robot. The system further includes a motion characterization system coupled to the autonomous mobile robot, the motion characterization system comprising an odometry system operable to collect vehicle motion data associated with the vehicle motion; a triggering component; a storage component for storing an event start time, an event end time and the vehicle motion data between the event start time and the event end time; and a motion characterization processor operable to: receive an initialization input to initiate the triggering event; generate a trigger signal to cause the triggering component to cause the triggering event; and identify the event start time and an event end time.