A processor-implemented method includes classifying a plurality of aisles into a single-sided docking aisle and a double-sided docking aisle within a structure including a plurality of workstations are arranged in the aisle, determining positions of each of a plurality of logistics robots within each section of each aisle based on received respective positions of respective logistics robots and received respective states of the respective logistics robots, counting a first number of moving logistics robots in each section of each aisle and a second number of waiting logistics robots in each section of each aisle, performing a first traffic control with respect to logistics robots that have entered the traffic section, performing a second traffic control with respect to logistics robots that have requested a docking-out, and generating and assigning a mission corresponding to a result of the first traffic control and the second traffic control.

One example method includes receiving datasets based on one or more instances of sensor data that are received from one or more sensors. The sensor data is associated with an aggregate fragility level that indicates how fragile one or more packages being transported by a movable edge node in an edge environment are. Features that are based on the datasets are extracted. Based on the extracted features, events that indicate anomalous driving patterns for the movable edge node are determined. In response to determining the events, an alarm based on a predetermined threshold that is based on the aggregate fragility level is generated.

A system is provided for controlling a grain cart relative to a grain truck. The grain truck includes a side edge extending between a front end and a rear end. The system comprises a ranging device and a controller. The ranging device is configured to determine a position and orientation of the side edge relative to the grain cart. The controller is configured to determine a path line parallel to the side edge, wherein the path line is a predetermined distance from the side edge, identify a goal point based on the path line, where the goal point a second predetermined distance from the front or rear end of the side edge, and plan a path for the grain cart to the goal point.

A system is provided for controlling a grain cart relative to a grain truck. The grain cart includes a grain tank and an unload auger configured to transfer crop material out of the grain tank. The grain truck includes a truck box extending from a first end to a second end. The truck box includes a top edge extending around the top of the truck box. The system comprises a ranging device and a controller. The ranging device is configured to identify a distance to the top edge of the truck box and identify a distance to an area in the truck box. The controller is configured to determine a position of the grain cart relative to the grain truck, and determine whether the grain cart is positioned near the first end of the truck box. If the controller determines that the grain cart is positioned near the first end of the truck box, the controller is configured to determine a fill level in the area based on the distance to the top edge of the truck box and the distance to the area in the truck box, determine whether the fill level exceeds a threshold, and if the controller determines that the fill level does not exceed the threshold, the controller is configured to start the unload auger.

A system for presenting information to a human to avoid dangers such as collisions, without hindering the respective movement of the human and an autonomous machine. The human-machine cooperative control system manages each movable region so that the human and the autonomous machine do not collide. The system comprises a moving body position measurement unit comprising at least sensor for measuring the position of moving bodies, including a human and a machine; a moving body motion prediction unit for predicting future motion of a subject moving body on the basis of a moving body position; an exclusive management unit for planning a movable region for each moving body on the basis of a planned route for the unmanned machine and a moving body predicted motion obtained from the moving body motion prediction unit; and an information presentation unit for presenting information about the movable region for the human.

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 method and apparatus for an autonomous delivery robot-based delivery service are disclosed. An operating method of a delivery robot includes moving to a pick-up location through autonomous driving based on delivery information generated by a delivery robot service provider, loading goods at the pick-up location, delivering the goods to a delivery location through autonomous driving based on the delivery information, and sharing a current location of the delivery robot and a loading status of the goods with the delivery robot service provider.

An automated storage and retrieval system including at least one autonomous rover for transferring payload within the system and including a communicator, a multilevel storage structure, each level allowing traversal of the at least one autonomous rover, at least one registration station disposed at predetermined locations on each level and being configured to communicate with the communicator to at least receive rover identification information, and a controller in communication with the at least one registration station and configured to receive the at least rover identification information and at least one of register the at least one autonomous rover as being on a level corresponding to a respective one of the at least one registration station or deregister the at least one autonomous rover from the system, where the controller effects induction of the at least one autonomous rover into a predetermined rover space on the level.

A method of selecting a location of a tracking point for a vehicle unit of a vehicle includes dynamically adapting the location of the tracking point based on a vehicle speed. In some examples, the location of the tracking point for a relatively high speed is located (along the vehicle unit) in front of the location of the tracking point for a relatively low speed. Also disclosed is a method of determining a reference location of the tracking point for a reference speed. The method comprises evaluating vehicle motion behavior for a plurality of candidate locations of the tracking point, and selecting one of the candidate locations as the reference location based on vehicle motion behavior metric values acquired through the evaluation.

Systems, methods, and non-transitory computer program product are described herein for detecting location aspects of an autonomous vehicle to avoid collisions. Data including a plurality of points characterizing a trailer of an autonomous vehicle are received from a first scanning device. A first plane associated with the trailer is defined based on the plurality of points exceeding a first predetermined threshold. It is determined whether the first plane is perpendicular to ground. Based on the first plane being perpendicular to the ground, an orientation of the trailer is determined based on the first plane. Maneuvering of the autonomous vehicle is controlled through one or more commands based on the orientation.