An unmanned vehicle control system includes: a determination unit that determines whether or not to output a heating request for a hydraulic oil based on hydraulic oil data supplied to a hydraulic actuator disposed in an unmanned vehicle and operated by the hydraulic oil; a vehicle receiver that receives a heating command for the hydraulic oil generated based on the heating request; and a heating processor that executes a heating process of the hydraulic oil based on the heating command.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for using a drone to test monitoring system sensors. In one aspect, the drone perform operations that include navigating from a first location of a property towards a second location of the property, detecting a sensor that is installed at the property, interrupting, by the drone, navigation through the property from the first location of the property towards the second location of the property to initiate a test of the detected sensor and (ii) determining a sensor test type for the detected sensor, administering a sensor test to the detected sensor, wherein the sensor test is based on the determined sensor test type, evaluating results of the administered test, storing data describing the results of the administered test, and continuing navigation through the property towards the second location of the property or towards another location of the property.

The present disclosure provides an intelligent port control system and related systems and apparatuses, capable of achieving fully automated ship loading and unloading. The intelligent port control system includes: a scheduling center system configured to determine a ship loading plan based on ship information, container information, and shore crane apparatus information, and generate a ship berthing task, a ship loading task, and a container distribution task based on the ship loading plan, for transmitting to a ship control system of a target ship, a shore crane control system of a target shore crane apparatus, and a warehouse management system of a warehouse center, respectively.

The present disclosure provides an intelligent port control system and related systems and apparatuses, capable of achieving fully automated ship loading and unloading. The intelligent port control system includes: a scheduling center system configured to determine a ship loading plan based on ship information, container information, and shore crane apparatus information, and generate a ship berthing task, a ship loading task, and a container distribution task based on the ship loading plan, for transmitting to a ship control system of a target ship, a shore crane control system of a target shore crane apparatus, and a warehouse management system of a warehouse center, respectively.

The present disclosure generally relates to autonomous operation of material handling vehicles within a facility, such as a factory or warehouse. An unmanned, autonomous material handling vehicle can encounter a variety of issues operating within the facility, and may need assistance to resolve such issues. The unmanned, autonomous material handling vehicle can transmit a request for assistance to a manned, non-autonomous material handling vehicle, and a human operating the manned, non-autonomous material handling vehicle can assist the unmanned, autonomous material handling vehicle.

A control system an unmanned vehicle includes a first processing unit configured to execute a primary autopilot process for controlling the unmanned vehicle. The control system further includes a programmable logic array in operative communication with the first processing unit. The control system also includes a state machine configured in the programmable logic array. The state machine is configured to enable control of the unmanned vehicle according to a backup autopilot process in response to an invalid output of the first processing unit.

An AUV includes: an underwater vehicle main body configured to sail along an inspection object located in water or on the bottom of the water; an arm extending from the underwater vehicle main body; an inspection tool portion including a contact portion configured to contact the inspection object and an inspection device configured to inspect the inspection object; and a passive joint provided between the arm and the inspection tool portion and configured to allow passive rotation of the inspection tool portion relative to the arm about at least one axis.

The technology relates to localizing a vehicle. As one approach, a first LIDAR sensor scan data of an environment of the vehicle and localization data for the vehicle at a location where the first LIDAR sensor scan was captured are stored. Thereafter, the computing device is suspended and subsequently unsuspended. After the computing device is unsuspended, second LIDAR sensor scan data of the vehicle's environment is received. The first LIDAR sensor scan data is compared to the second LIDAR sensor scan data to determine whether the vehicle has moved. Based on the determination of whether the vehicle has moved from the location, the stored localization data is used to localize the vehicle. Other approaches are also described.

A method includes constructing a map of an environment based on mapping data produced by an autonomous cleaning robot in the environment during a first cleaning mission. Constructing the map includes providing a label associated with a portion of the mapping data. The method includes causing a remote computing device to present a visual representation of the environment based on the map, and a visual indicator of the label. The method includes causing the autonomous cleaning robot to initiate a behavior associated with the label during a second cleaning mission.

A method includes constructing a map of an environment based on mapping data produced by an autonomous cleaning robot in the environment during a first cleaning mission. Constructing the map includes providing a label associated with a portion of the mapping data. The method includes causing a remote computing device to present a visual representation of the environment based on the map, and a visual indicator of the label. The method includes causing the autonomous cleaning robot to initiate a behavior associated with the label during a second cleaning mission.