Abstract: Systems and methods for monitoring a fleet of self-driving vehicles are disclosed. The system comprises one or more self-driving vehicles having at least one sensor for collecting current state information, a fleet-management system, and computer-readable media for storing reference data. The method comprises autonomously navigating a self-driving vehicle in an environment, collecting current state information using the vehicle's sensor, comparing the current state information with the reference data, identifying outlier data in the current state information, and generating an alert based on the outlier data. A notification based on the alert may be sent to one or more monitoring devices according to the type and severity of the outlier.

Abstract: There is provided a driver-support system for use with a human-operated material-transport vehicle, and methods for using the same. The system has at least one sensor, a human-vehicle interface, and a transceiver for communicating with a fleet-management system. The system also has a processor that is configured to provide a mapping application and a localization application based on information received from the sensor. The mapping application and localization application may be provided in a single localization-and-mapping (“SLAM”) application, which may obtain input from the sensor, for example, when the sensor is an optical sensor such as a LiDAR or video camera.

Abstract: There is provided a driver-support system for use with a human-operated material-transport vehicle, and methods for using the same. The system has at least one sensor, a human-vehicle interface, and a transceiver for communicating with a fleet-management system. The system also has a processor that is configured to provide a mapping application and a localization application based on information received from the sensor. The mapping application and localization application may be provided in a single localization-and-mapping (“SLAM”) application, which may obtain input from the sensor, for example, when the sensor is an optical sensor such as a LiDAR or video camera.

Abstract: A system, apparatus and method for automatic environmental data collection and analysis are provided, including a server comprising: a processor and a communication interface, the processor configured to: receive, using the communication interface, a geographic survey request from a first computing device; translate the geographic survey request into mission data for collecting geographic survey data; transmit, using the communication interface, the mission data to a second computing device associated with a geographic survey entity; receive, using the communication interface, the geographic survey data collected by the geographic survey entity using the mission data; analyze the geographic survey data to generate processed geographic survey data; and, transmit, using the communication interface, the processed geographic survey data to the first computing device.

Abstract: Systems and methods for monitoring a fleet of self-driving vehicles are disclosed. The system comprises one or more self-driving vehicles having at least one sensor for collecting current state information, a fleet-management system, and computer-readable media for storing reference data. The method comprises autonomously navigating a self-driving vehicle in an environment, collecting current state information using the vehicle's sensor, comparing the current state information with the reference data, identifying outlier data in the current state information, and generating an alert based on the outlier data. A notification based on the alert may be sent to one or more monitoring devices according to the type and severity of the outlier.

Abstract: Systems and methods for monitoring a fleet of self-driving vehicles are disclosed. The system comprises one or more self-driving vehicles having at least one sensor for collecting current state information, a fleet-management system, and computer-readable media for storing reference data. The method comprises autonomously navigating a self-driving vehicle in an environment, collecting current state information using the vehicle's sensor, comparing the current state information with the reference data, identifying outlier data in the current state information, and generating an alert based on the outlier data. A notification based on the alert may be sent to one or more monitoring devices according to the type and severity of the outlier.

Abstract: Systems and methods for generating a mission for a self-driving material-transport vehicle are presented. The system comprises at least one self-driving material-transport vehicle, at least one programmable logic controller, at least one field instrument, and at least one non-transitory computer-readable medium in communication with at least one processor. An application signal is received from the programmable logic controller based on an activation signal from the field instrument. A mission is generated by the application signal and a mission template, and the mission is transmitted to the self-driving material-transport vehicle. In some cases, the application signal may be based on OPC-UA, and the mission and/or mission template may be based on a REST protocol.

Abstract: Systems and methods for monitoring a fleet of self-driving vehicles are disclosed. The system comprises one or more self-driving vehicles having at least one sensor for collecting current state information, a fleet-management system, and computer-readable media for storing reference data. The method comprises autonomously navigating a self-driving vehicle in an environment, collecting current state information using the vehicle's sensor, comparing the current state information with the reference data, identifying outlier data in the current state information, and generating an alert based on the outlier data. A notification based on the alert may be sent to one or more monitoring devices according to the type and severity of the outlier.

Abstract: There is provided an electrically-powered material-transport vehicle having a vehicle-charging contact on one side of the vehicle, and a second vehicle-charging contact on the opposite side of the vehicle. The vehicle has a load-bearing cap that covers the top of the vehicle, and a cap elevator for raising and lowering the cap. The cap can be raised and lowered to a transit position, a payload-engagement position, a charging position, and a maintenance position. In the transit position and payload-engagement position, the cap covers the vehicle-charging contacts so that they are not exposed. In the charging position, the cap is raised so that the vehicle-charging contacts are exposed. The vehicle can enter a charging-dock with the cap in the charging position in order to recharge the vehicle's battery.

Abstract: Systems and methods for monitoring a fleet of self-driving vehicles are disclosed. The system comprises one or more self-driving vehicles having at least one sensor for collecting current state information, a fleet-management system, and computer-readable media for storing reference data. The method comprises autonomously navigating a self-driving vehicle in an environment, collecting current state information using the vehicle's sensor, comparing the current state information with the reference data, identifying outlier data in the current state information, and generating an alert based on the outlier data. A notification based on the alert may be sent to one or more monitoring devices according to the type and severity of the outlier.

Abstract: There is provided a driver-support system for use with a human-operated material-transport vehicle, and methods for using the same. The system has at least one sensor, a human-vehicle interface, and a transceiver for communicating with a fleet-management system. The system also has a processor that is configured to provide a mapping application and a localization application based on information received from the sensor. The mapping application and localization application may be provided in a single localization-and-mapping (“SLAM”) application, which may obtain input from the sensor, for example, when the sensor is an optical sensor such as a LiDAR or video camera.

Abstract: Systems and methods for transporting objects using a cart that is driven by human action or self-driving vehicle is disclosed. The cart system and method comprises a chassis portion supporting a payload to be moved by the cart. The cart system further comprises of a first side rail and a second side rail. A first front wheel and first rear wheel is attached to the first side rail and a second front wheel and second rear wheel is attached to the second rail. The handle portion pushes the cart which comprises of a handle bar supported by vertical support members. The brake actuator is used to engage and release the brakes on the rear wheel. A horizontal engagement bar is used which comprises of a plurality of engagement pads. A payload-bearing surface bears payload such that the payload can be transported by the cart.

Abstract: An autonomous vehicle is disclosed. The vehicle comprises a chassis, two or more drive wheels extending below the chassis, a drive motor housed within the chassis for driving the drive wheels, and a payload surface on top of the chassis for carrying a payload. An illumination system, for emitting light from at least one portion of the chassis, is mounted substantially around the entire perimeter of the chassis. The illumination system may be implemented using an array of light-emitting diodes (“LEDs”) that are arranged as segments. For example, there may be “headlight” segments on the front left and front right corners of the chassis.

Abstract: There is provided a driver-support system for use with a human-operated material-transport vehicle, and methods for using the same. The system has at least one sensor, a human-vehicle interface, and a transceiver for communicating with a fleet-management system. The system also has a processor that is configured to provide a mapping application and a localization application based on information received from the sensor. The mapping application and localization application may be provided in a single localization-and-mapping (“SLAM”) application, which may obtain input from the sensor, for example, when the sensor is an optical sensor such as a LiDAR or video camera.

Abstract: Apparatus, systems and methods for providing smart pick-up and drop-off are presented. The apparatus comprises at least one vertical support member and at least one storage shelf supported by the at least one vertical support member. A payload transfer surface, supported by the vertical support members, is located below the lowest storage shelf. The payload transfer surface has an access channel so that a self-driving material-transport vehicle equipped with a lift appliance can pick up or drop off a payload on the payload transfer surface. A sensor associated with the payload transfer surface senses the presence or absence of a payload on the payload transfer surface, and sends a signal to a fleet-management system in communication with the self-driving material-transport vehicle.

Abstract: An autonomous vehicle is disclosed. The vehicle comprises a chassis, two or more drive wheels extending below the chassis, a drive motor housed within the chassis for driving the drive wheels, and a payload surface on top of the chassis for carrying a payload. An illumination system, for emitting light from at least one portion of the chassis, is mounted substantially around the entire perimeter of the chassis. The illumination system may be implemented using an array of light-emitting diodes (“LEDs”) that are arranged as segments. For example, there may be “headlight” segments on the front left and front right corners of the chassis.

Abstract: There is provided a driver-support system for use with a human-operated material-transport vehicle, and methods for using the same. The system has at least one sensor, a human-vehicle interface, and a transceiver for communicating with a fleet-management system. The system also has a processor that is configured to provide a mapping application and a localization application based on information received from the sensor. The mapping application and localization application may be provided in a single localization-and-mapping (“SLAM”) application, which may obtain input from the sensor, for example, when the sensor is an optical sensor such as a LiDAR or video camera.

Abstract: An autonomous vehicle is disclosed. The vehicle comprises a chassis, two or more drive wheels extending below the chassis, a drive motor housed within the chassis for driving the drive wheels, and a payload surface on top of the chassis for carrying a payload. An illumination system, for emitting light from at least one portion of the chassis, is mounted substantially around the entire perimeter of the chassis. The illumination system may be implemented using an array of light-emitting diodes (“LEDs”) that are arranged as segments. For example, there may be “headlight” segments on the front left and front right corners of the chassis.

Abstract: A system, apparatus and method for automatic environmental data collection and analysis are provided, including a server comprising: a processor and a communication interface, the processor configured to: receive, using the communication interface, a geographic survey request from a first computing device; translate the geographic survey request into mission data for collecting geographic survey data; transmit, using the communication interface, the mission data to a second computing device associated with a geographic survey entity; receive, using the communication interface, the geographic survey data collected by the geographic survey entity using the mission data; analyze the geographic survey data to generate processed geographic survey data; and, transmit, using the communication interface, the processed geographic survey data to the first computing device.