A robot that is able to move about an environment determines a wait location in the environment to wait at when not otherwise in use. The wait location may be selected based on various factors including position of objects, next scheduled use, previous usage of the robot, availability of wireless connectivity, user traffic patterns, user presence, visibility of the surrounding environment, and so forth. The robot moves to that location and maintains a pose at that location, such as orienting itself to allow onboard sensors a greatest possible view of the environment. If a wait location is occupied, the robot may move to another wait location.

An automated package retrieval system is provided. The automated package retrieval system includes a hub apparatus that includes multiple docking stations for multiple delivery devices, a power supply unit coupled to the hub apparatus, and a controller. The controller is configured to instruct at least one of the delivery devices to travel to a location to deliver an item ordered by a user. Once it is determined that the user has not retrieved the item from the delivery device, the delivery device is instructed to return to the hub apparatus. In response to detecting the user in proximity to the hub apparatus after the delivery device has returned to the hub apparatus, the user is provided with access to a storage compartment of the delivery device.

A worker constructs a map necessary for inspection of infrastructure equipment using data acquired using a target imaging device as data necessary for map generation, thereby reducing the cost necessary for transportation and the like of an autonomous inspection apparatus, and moreover, travel evaluation and inspection evaluation are performed using an evaluation function, and a map necessary for the inspection can be corrected based on a travel route of an autonomous travel route and an inspection result based on an evaluation result, whereby the introduction cost can be reduced.

A central management server according to an embodiment of the present disclosure includes: a selection module for selecting an unmanned aircraft and an unmanned robot to monitor a management target area; and a control module for transmitting a monitoring execution command to the selected unmanned aircraft and the unmanned robot, wherein, according to the monitoring execution command, the unmanned robot moves along a preset ground guard route and monitors the management target area on the ground, and the unmanned aircraft flies along a preset air guard route and monitors the management target area from above. When it may be determined that an event has occurred during monitoring, at least one of the unmanned aircraft and the unmanned robot may be configured to transmit event information including location information of a point at which the event has occurred to the control module.

The present disclosure relates generally to techniques for the kinematic estimation and dynamic behavior estimation of autonomous heavy equipment or vehicles to improve navigation, digging and material carrying tasks at various industrial work sites. Particularly, aspects of the present disclosure are directed to obtaining a set of sensor data providing a representation of operation of an autonomous vehicle in a worksite environment, estimating, by a trained model comprising a Gaussian process, a set of output data based on the set of sensor data, controlling an operation of the autonomous vehicle in the worksite environment using input data derived from the set of sensor data and the set of output data, obtaining actual output data from the operation of the autonomous vehicle in the worksite environment, and updating the trained model with the input data and the actual output data.

A method of operating a user terminal includes receiving occupancy data for an operating environment responsive to navigation of the operating environment by a mobile robot, and displaying a visual representation of the operating environment based on the occupancy data. The method flintier includes receiving information identifying a plurality of electronic devices that are local to the operating environment and respective operating states thereof, and populating the visual representation of the operating environment with visual indications of respective spatial locations of the electronic devices in the operating environment and status indications of the respective operating states of the electronic devices. Related methods for controlling the electronic devices based on their respective spatial locations and the relative spatial context of the operating environment are also discussed.

In emergency or search-and-rescue operations, user devices such as phones may transmit signals that indicate people may be located nearby. The signals can be detected by one or more rover devices, which can explore dangerous terrain for indications of people to be rescued. The user devices can activate an application that conserves battery power while emitting a signal, in some cases in a round robin configuration to further conserve power. The rover devices, or other devices that make contact with the user devices, can collect and manipulate data about the user devices to aid a rescue operation.

Provided is a method, computer program product, and system for leveraging spatial scanning data of an environment collected by a robotic vacuum to generate recommendations for improving environmental conditions. A robotic vacuum may collect cleanliness data relative to an environment. The robotic vacuum may store the cleanliness data over a plurality of cleaning cycles. The robotic vacuum may analyze the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends. The robotic vacuum may generate a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends. The robotic vacuum may provide the recommendation to a user.

Disclosed is a dynamic collision avoidance method for an unmanned surface vessel based on route replanning. The method comprises the following steps: acquiring navigation information and pose information of a neighboring ship of an unmanned vessel itself via a vessel-borne sensor; constructing a collision cone between the unmanned vessel and the neighboring ship; introducing a degree of uncertainty with respect to observing movement information of the neighboring ship and applying a layer of soft constraint to the collision cone; applying a speed and a heading limit range of the unmanned vessel; acquiring an ultimate candidate speed set; introducing a cost function to select an optimum collision avoidance speed; and performing an internal recycle of navigation simulation with the optimum collision avoidance speed to obtain a route replanning point for dynamic collision avoidance of the unmanned vessel. According to the present invention, a dynamic collision avoidance strategy of the unmanned surface vessel is output in form of route replanning to meet constraints of international regulations for preventing collisions at sea, and it is well adapted to manipulate and control the unmanned vessel itself, so that a dynamic collision avoidance requirement of the unmanned vessel is met.

An unmanned preview system that enables an unmanned preview of a building without requiring presence of an agent and can suppress damage or the like inside the building, wherein an unmanned preview system includes: a preview robot that is configured to be placeable inside the building and has portability; and a management device that is connected to the preview robot via a communication line and manages the preview robot. The preview robot includes an abnormality notifier that notifies the management device of an abnormality via the communication line when the abnormality having occurred inside the building is detected. The management device includes an abnormality annunciator that announces the abnormality to an administrator when it is notified of the abnormality by the abnormality notifier.