Apparatus, systems, processes, and computer-readable mediums for facilitating the use of drones are described. For one embodiment, such a system includes a user element having a user application computer program configured to instruct a user interface device to facilitate use of user data and use of mission parameter(s) for a proposed drone mission. An owner element includes an owner application computer program configured to facilitate use of owner data and use of at least one drone parameter. A fleet system element is communicatively coupled to the user element and to the owner element and includes a computer system processor configured to facilitate use of a fleet record and use of at least one fleet parameter.

A mobile robot includes a communication unit that communicates with another mobile robot, a sensing unit for sensing the other mobile robot existing in a detection area encompassing a predetermined projected angle with respect to the front of a main body of the mobile robot, and a control unit configured for rotating the main body so that the other mobile robot is sensed in the detection area. The communication unit transmits a control signal configured to cause the other mobile robot to travel in a linear direction by a predetermined distance, to the other mobile robot when the other mobile robot is present in the detection area.

Systems and methods for creation of custom behavior zones for autonomous vehicles, providing a more tailored experience for passengers as well as businesses. Custom behavior zones allow passengers to request or select a specific pick-up/drop-off location on private property. In some examples, custom behavior zones are created in private gated communities, on residential properties with long driveways, on government property, and at businesses that have multiple entrances and/or offer different services at various locations on the business property.

A robot detects, through a sensor, the location and movement direction of a user and an object near the user, sets a nearby ground area in front at the feet of the user according to the detected location and movement direction of the user, controls an illumination device in the robot to irradiate the nearby ground area with light while driving at least one pair of legs or wheels of the robot to cause the robot to accompany the user, specifies the type and the location of the detected object, and if the object is a dangerous object and is located ahead of the user, controls the illumination device to irradiate a danger area including at least a portion of the dangerous object with light in addition to irradiating the nearby ground area with light.

A robot control system is a robot control system that controls a plurality of mobile robots, in which: each of the mobile robots includes right and left wheels, and a sensor that detects actions of the right and left wheels; and the control system calculates abrasion degrees of right and left components for the right and left wheels, depending on a detection result of the sensor, and manages traveling of the plurality of mobile robots, depending on the abrasion degrees.

Apparatuses, systems, and methods for tracking and/or controlling unmanned aerial vehicles (UAVs) as well as tracking UAV controllers (UACs) within a cellular network. A UAV/UAC may provide a cellular network with tracking information such as speed, orientation, altitude, C2 communication quality, C2 communication mode change request, measurement report, RRC status, cell ID, TAC ID, current location of the UAV, and destination of the UAV. The network may forward this information to an unmanned aerial system (UAS) traffic management system (UTM). The UTM may determine, based in part on the tracking information, whether to transfer control of the UAV from the UAC to the UTM. In some embodiments, the UAV/UAC may trigger the UTM to transfer control of the UAV form the UAC to the UTM.

A system for updating a virtual worksite includes a plurality of simulated construction machine controllers associated with a corresponding construction machine. Each simulated construction machine controller collects data indicative of an updated height map of one or more portions of the virtual worksite on which the corresponding construction machine is operating. A central controller receives the data indicative of the updated height map of the one or more portions of the virtual worksite from the plurality of simulated construction machine controllers and compares the received data with an initial data model of the virtual worksite. The central controller generates an updated data model of the virtual worksite based on the comparison and transmits the updated data model of the virtual worksite to each of the plurality of simulated construction machine controllers and/or a user interface. The user interface displays a real time streaming of data of the virtual worksite thereon.

Disclosed herein are systems and methods for autonomous vehicle operation. A computing system can include a communication device configured to receive a plurality of event signals from at least a first autonomous vehicle that is traversing a path, and a processor in electrical communication with the communication device and configured to determine whether the event signals are indicative of an obstacle in a portion of the path. The communication device can be configured to receive, from at least a second autonomous vehicle, at least one characteristic of the obstacle captured by at least one sensor of the second autonomous vehicle, and transmit, to at least a third autonomous vehicle, at least one task to clear the obstacle from the portion of the path. The processor can be configured to determine, based on the characteristic of the obstacle, the at least one task to be transmitted by the communication device.

Methods and enhanced apparatus used in such methods are described that a dispatched logistics operation for a deliverable item from a hold-at-location (HAL) logistics facility having a secured storage and using a modular autonomous bot apparatus assembly and a dispatch server. The bot apparatus assembly picks up and delivers the item from the HAL facility in response to a delivery dispatch command from the dispatch server. In response, the MAM of the bot verifies compatibility of modular components for the operation, controls receiving of the deliverable item from the secured storage at the HAL facility, then autonomously causes movement to the delivery destination. The MAM notifies the customer before delivery of the approaching delivery, authenticates delivery is to the authorized customer, provides access to the item within the bot apparatus assembly, monitors unloading of the item, then autonomously moves back to the HAL facility.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.