Provided are methods for vehicle scenario mining for machine learning methods, which can include determining a set of attributes associated with an untested scenario for which a machine learning model of an autonomous vehicle is to make planned movements. The method includes searching a scenario database for the untested scenario based on the set of attributes. The scenario database includes a plurality of datasets representative of data received from an autonomous vehicle sensor system in which the plurality of datasets is marked with at least one attribute of the set of attributes. The method further includes obtaining the untested scenario from the scenario database for inputting into the machine learning model for training the machine learning model. The machine learning model is configured to make the planned movements for the autonomous vehicle. Systems and computer program products are also provided.

A robotic post includes a processor and a memory. The robotic post may include a manipulation arm and a swiveling or otherwise movable trunk or base. One or more sensors provided on the robotic post enable the robotic post to determine the position and location of a piece of luggage. The processor, based on the sensor input, causes the robotic post to rotate, tilt or move toward the luggage to orient and secure a hook or gripper onto the handle of the luggage. The post may move, under control of the processor, to another location. When presented with authorization by a user, the luggage is released at the second location.

According to various embodiments, a vehicle may be provided. The vehicle may include: a sensor configured to sense a marking, wherein the marking is at least substantially not visible to the human eye under a natural lighting condition; and a localization circuit configured to determine a location of the vehicle based on the sensing of the sensor.

A method and a gateway system of a mobile asset are described. A voltage produced by a power system of the mobile asset is monitored by a gateway system. In response to determining that a first fluctuation occurs in the voltage produced by the power system of the mobile asset over a first interval of time, the gateway system operates in a first mode. In response to determining that a value of the voltage produced by the power system of the mobile asset is less than a voltage threshold, the gateway system automatically transitions to operating in a second mode, which is different from the first mode and causes the gateway system to consume less power than when it is operating in the first mode.

Systems and methods for loading and delivering stalk subassemblies and yarn packages are disclosed herein. Such systems and methods can have at least one processor, at least one automated guided vehicle, at least one creel assembly, and an automated creel loading assembly. The at least one automated guided vehicle can be communicatively coupled to the at least one processor. The at least one processor can be configured to selectively direct an automated guided vehicle to engage a respective stalk subassembly. Upon engagement between the automated guided vehicle and the stalk subassembly, the processor can be configured to selectively direct the automated guided vehicle to move about and between the selected operative position within the creel assembly and a loading position proximate the automated creel loading assembly.

Disclosed is a golf-shot-tracking-self-driving-path central controlling system, comprising a predetermined-paths-determining module, a golf-ball-next-shot-location determining module and a path driving controlling module, to centrally control each of a plurality of golf-shot-tracking fairway-self-driving golf carts to drive in one of a plurality of predetermined paths or shift among the plurality of predetermined paths.

Systems and methods for autonomous provision replenishment are disclosed. Parts used in a manufacturing process are stored in an intermediate stock queue. When the parts are consumed by the manufacturing process and the number of parts in the queue falls below a threshold, a provision-replenishment signal is generated. One or more self-driving material-transport vehicles, a fleet-management system, and a provision-notification device.

Systems and methods described herein are directed to an environment involving a plurality of robots, wherein for receipt of a plurality of orders, the systems and methods generate a plurality of task batches to fulfill the plurality of orders; generate a parameter set for execution by the plurality of robots to execute the plurality of task batches. For a determination by a controller that one or more of the plurality of robots is to execute the plurality of task batches, the systems and methods load the parameter set; and control the one or more of the plurality of robots based on the loaded parameter set to execute the task batch.

According to an embodiment, a mobile object management device for managing a ridable mobile object that a user is allowed to get on and which moves inside of a prescribed area includes an acquirer configured to acquire location information of the ridable mobile object, a manager configured to manage the ridable mobile object and a terminal device of the user on the ridable mobile object in association with each other, and an event operation instructor configured to cause the ridable mobile object to execute a prescribed operation corresponding to an event via the terminal device of the user on the basis of the location information and information about the event that is executed inside of the prescribed area. The manager manages whether or not to permit participation in the event of the user on the basis of a state in which the user uses the ridable mobile object.

Autonomous mobile robots include transfer systems that may receive multiple items for delivery to one or more destinations. The transfer systems may be specifically configured to detect and identify items that are placed on loading surfaces, and to independently discharge specific items at selected destinations or to selected recipients. The transfer systems feature loading surfaces that may be defined by a plurality of independently operable conveyors to receive or discharge items, by independently operable floors that allow items to pass therethrough, or by independently operable diverters for detecting and expelling items therefrom. The transfer systems may receive items from, or discharge items to, one or more humans, other robots, or other systems such as conveyors, chutes, robotic arms or other mechanical implements or effectors, and be aligned at any angle or provided at any height, as desired.