Abstract: A system for remote viewing and control of self-driving vehicles includes: an execution subsystem for deployment at an execution location containing a self-driving vehicle. The execution subsystem includes: a capture assembly to capture multimedia data depicting the execution location, and a server to receive the multimedia data and transmit the multimedia data for presentation at an operator location remote from the execution location. The server relays operational commands and operational status data between the self-driving vehicle and the operator location. The system includes an operator subsystem for deployment at the operator location, including: a display assembly, and a computing device to: (a) establish a connection with the server; (b) receive the multimedia data from the server and control the display assembly to present the multimedia data; and (c) receive control commands and transmit the control commands to the server for execution by the self-driving 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: Systems, methods and apparatus are provided for handling operational constraints for unmanned vehicles. The system includes: a plurality of mobile unmanned vehicles for deployment in an environment; a computing device connected to the plurality of unmanned vehicles via a network, the computing device storing, in a memory, a plurality of operational constraints; each operational constraint including (i) a type identifier, (ii) an indication of a region of the environment, and (iii) a property defining a constraint on the operation of the unmanned vehicles within the region. The computing device is configured to: receive a request from one of the mobile unmanned vehicles, the request identifying an operational constraint; responsive to receiving the request, retrieve an operational constraint from the memory based on the request; and send the retrieved operational constraint to the one of the mobile unmanned vehicles.

Abstract: Systems and methods for self-driving vehicle traffic management are disclosed. The system comprises one or more self-driving vehicles. One or more vehicles has a sensor system, a control system, and a drive system. The control system is configured to determine a current position and an intent position associated with itself, and to receive a current position and intent decision associated with a neighbor vehicle. The control system then determines a current spacing and relative spacing between itself and the neighbor vehicle. Based on the current and intent positions, the current spacing, and the relative spacing, the control system determines that the vehicle should yield to the neighbor vehicle, and sends a yield signal to the drive system in order to cause the vehicle to yield to the neighbor vehicle.

Abstract: Systems and methods of unmanned vehicles having self-calibrating sensors and actuators are provided. The unmanned vehicle comprises a communication interface and a processor for controlling a propulsion system of the vehicle and receiving sensor data from one or more sensors of the vehicle. The processor is configured to operate in a guided calibration mode by controlling the propulsion system according to commands received from an external guided control system, while processing the sensor data to determine a degree of certainty on a calibration the sensor data and a position of the vehicle. The processor determines that the degree of certainty is above a threshold value associated with safe operation of the propulsion system in an autonomous calibration mode, and subsequently switch operation of the propulsion system to the autonomous calibration mode based on the determination that the degree of certainty is above the threshold value.

Abstract: Systems and methods for monitoring a self-driving vehicle are presented. The system comprises a camera, a processor, a communications transceiver, a computer-readable medium, and a display device. The processor can be configured to receive an image of a self-driving vehicle from the camera, and vehicle information from the self-driving vehicle. A graphic comprising the image of the self-driving vehicle and a visual representation of the vehicle information is then displayed on the display device. The vehicle information may comprise any or all of vehicle-status information, vehicle-mission information, vehicle-metric information, and vehicle-environment information.

Abstract: Systems and methods for autonomous lineside delivery to an assembly-line using a self-driving vehicle are disclosed, comprising receiving a part-supply schedule having a part identifier identifying a part to be supplied, an assembly-line location to be supplied with the part, and a delivery time for supplying the part to the assembly-line location. A mission is generated based on the schedule, and sent to a self-driving vehicle. The self-driving vehicle executes the mission such that the part is supplied to the assembly-line location in accordance with the part-supply schedule.

Abstract: Methods and systems are provided for traction detection and control of a self-driving vehicle. The self-driving vehicle has drive motors that drive drive-wheels according to a drive-motor speed. Traction detection and control can be obtained by measuring the vehicle speed with a sensor such as a LiDAR or video camera, and measuring the wheel speed of the drive wheels with a sensor such as a rotary encoder. The difference between the measured vehicle speed and the measured wheel speeds can be used to determine if a loss of traction has occurred in any of the wheels. If a loss of traction is detected, then a recovery strategy can be selected from a list of recovery strategies in order to reduce the effects of the loss of traction.

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 flexible conveyance in an assembly-line or manufacturing process are disclosed. A fleet of self-driving vehicles and a fleet-management system can be used to convey workpieces through a sequence of workstations at which operations are performed in order to produce a finished assembly. An assembly can be transported to a first workstation using a self-driving vehicle, where an operation is performed on the assembly. Subsequently, the assembly can be transported to a second workstation using the self-driving vehicle. The operation can be performed on the assembly while it is being conveyed by the self-driving vehicle.

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: Systems and methods of unmanned vehicles having self-calibrating sensors and actuators are provided. The unmanned vehicle comprises a communication interface and a processor for controlling a propulsion system of the vehicle and receiving sensor data from one or more sensors of the vehicle. The processor is configured to operate in a guided calibration mode by controlling the propulsion system according to commands received from an external guided control system, while processing the sensor data to determine a degree of certainty on a calibration the sensor data and a position of the vehicle. The processor determines that the degree of certainty is above a threshold value associated with safe operation of the propulsion system in an autonomous calibration mode, and subsequently switch operation of the propulsion system to the autonomous calibration mode based on the determination that the degree of certainty is above the threshold value.

Abstract: Systems and methods for autonomous lineside delivery to an assembly-line using a self-driving vehicle are disclosed, comprising receiving a part-supply schedule having a part identifier identifying a part to be supplied, an assembly-line location to be supplied with the part, and a delivery time for supplying the part to the assembly-line location. A mission is generated based on the schedule, and sent to a self-driving vehicle. The self-driving vehicle executes the mission such that the part is supplied to the assembly-line location in accordance with the part-supply schedule.

Abstract: Systems, methods and apparatus are provided for handling operational constraints for unmanned vehicles. The system includes: a plurality of mobile unmanned vehicles for deployment in an environment; a computing device connected to the plurality of unmanned vehicles via a network, the computing device storing, in a memory, a plurality of operational constraints; each operational constraint including (i) a type identifier, (ii) an indication of a region of the environment, and (iii) a property defining a constraint on the operation of the unmanned vehicles within the region. The computing device is configured to: receive a request from one of the mobile unmanned vehicles, the request identifying an operational constraint; responsive to receiving the request, retrieve an operational constraint from the memory based on the request; and send the retrieved operational constraint to the one of the mobile unmanned vehicles.

Abstract: A mobile platform for materials transport is provided. The platform includes a pair of suspension devices that in turn include a pair of rocker beams which can be rotated between two positions: a first position where central wheels attached thereto can be used to drive the platform; and a second position where the central wheels are retracted and the platform can be rolled on end wheels without the friction of the central wheels, and an associated drive system, impeding movement of the platform. Furthermore, data from sensors and/or load cells can be used to control movement of the platform; specifically shifts in load distribution and/or sensed forces at the suspension devices can indicate that a load (and/or materials) has shifted and/or is shifting and movement of the platform is adjusted accordingly, for example to prevent the platform and/or the load (and/or materials) from tipping.

Abstract: The various embodiments described herein generally relate to an autonomous material transport vehicle, and systems and methods for operating an autonomous material transport vehicle. The autonomous material transport vehicle comprises: a sensing system operable to monitor an environment of the vehicle; a drive system for operating the vehicle; a processor operable to: receive a location of a load; initiate the drive system to navigate the vehicle to the location; following initiation of the drive system, operate the sensing system to monitor for one or more objects within a detection range; and in response to the sensing system detecting the one or more objects within the detection range, determine whether the load is within the detection range; and when the load is within the detection range, operate the drive system to position the vehicle for transporting the load, otherwise, determine a collision avoidance operation to avoid the one or more objects.

Abstract: Systems, methods and apparatus are provided for handling operational constraints for unmanned vehicles. The system includes: a plurality of mobile unmanned vehicles for deployment in an environment; a computing device connected to the plurality of unmanned vehicles via a network, the computing device storing, in a memory, a plurality of operational constraints; each operational constraint including (i) a type identifier, (ii) an indication of a region of the environment, and (iii) a property defining a constraint on the operation of the unmanned vehicles within the region. The computing device is configured to: receive a request from one of the mobile unmanned vehicles, the request identifying an operational constraint; responsive to receiving the request, retrieve an operational constraint from the memory based on the request; and send the retrieved operational constraint to the one of the mobile unmanned vehicles.

Abstract: 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.

Abstract: A system for path control for a mobile unmanned vehicle in an environment is provided. The system includes: a sensor connected to the mobile unmanned vehicle; the mobile unmanned vehicle configured to initiate a first fail-safe routine responsive to detection of an object in a first sensor region adjacent to the sensor; and a processor connected to the mobile unmanned vehicle. The processor is configured to: generate a current path based on a map of the environment; based on the current path, issue velocity commands to cause the mobile unmanned vehicle to execute the current path; responsive to detection of an obstacle in a second sensor region, initiate a second fail-safe routine in the mobile unmanned vehicle to avoid entry of the obstacle into the first sensor region and initiation of the first fail-safe routine.

Abstract: Systems and methods for flexible conveyance in an assembly-line or manufacturing process are disclosed. A fleet of self-driving vehicles and a fleet-management system can be used to convey workpieces through a sequence of workstations at which operations are performed in order to produce a finished assembly. An assembly can be transported to a first workstation using a self-driving vehicle, where an operation is performed on the assembly. Subsequently, the assembly can be transported to a second workstation using the self-driving vehicle. The operation can be performed on the assembly while it is being conveyed by the self-driving vehicle.