Abstract: An improved cargo dolly for transporting cargo is described having a mobile dolly frame, a main shaft on the frame, a lever proximate to a first part of the frame (where the lever is movable relative to the frame and in responsive communication with the main shaft), a first set of transfer sprockets mounted to the main shaft, a secondary shaft rotatably disposed at a second part of the frame (where the first part is remote from the second part), a second set of transfer sprockets mounted to the secondary shaft, a chain disposed about the first set of transfer sprockets and the second set of transfer sprockets, and a locking pin having a first end fixed to the secondary shaft and a second end configured as an angled latch. Rotation of the lever responsively causes the locking pin to remotely rotate at the second part of the frame.

Abstract: An improved auto-chocking enabled cargo dolly that is towable by ground support equipment. The dolly has a frame, wheels attached to the frame that support the frame and rotate to allow movement of the frame, a tow bar, a linkage in communication with the tow bar and that actuates when the tow bar is raised, and a wheel engagement chocking system fixed to the dolly frame and disposed to selectively engage at least one of the wheels attached to the dolly frame. The wheel engagement system is responsive to a position of the linkage, where the wheel engagement chocking system applies pressure directly to at least one of the wheels to hold the wheel(s) in place when the linkage is actuated by the tow bar.

Abstract: A replaceable charging panel is provided for a unit load device having a plurality of walls. The replaceable charging panel may have a base member that is configured to removably attach to a first wall of the plurality of walls of the unit load device; and an electrical charging device mounted to the base member. A unit load device is also provided that has a plurality of walls and a replaceable charging panel.

Abstract: An improved retrofit assembly for ground support equipment providing autonomous operation of the logistics ground support equipment (GSE). The assembly has a refit control system attached to the GSE (with a vehicle dynamics control processor and a data preprocessing control processor), retrofitted proprioceptive sensors coupled to the vehicle dynamics control processor monitoring operating parameters and characteristics of the GSE, retrofitted exteroceptive sensors coupled to the data preprocessing control processor that monitor an exterior environment of the GSE, and refit actuators for different control elements on the GSE and to autonomously alter motion of the GSE. The refit control system programmatically receives sensor data from the proprioceptive sensors and exteroceptive sensors; optimizes a path for the GSE based upon the different sensor data; and activates at least one of the actuators according to the optimized path for the GSE.

Abstract: Apparatus, methods, and non-transitory computer readable media are described for detecting an operational safety condition within a container using a scanning sensor node deployed within the container and above a storage space within the container. For example, the method uses the scanning sensor node to sense if the container is in a closed state and monitors the storage space from above the storage space while the container is in the closed state. The method then has the scanning sensor node detecting a movement within the container based upon the monitoring of the storage space while in the closed state. Such a detected movement is indicative of the operational safety condition. The method then has the scanning sensor node transmitting an alert to a managing node over a wireless communication interface of the scanning sensor node, where the alert is associated with the operational safety condition within the container.

Abstract: The present invention provides a novel system and device for wearables for humans and animals that capture and store kinematic and kinetic data and movement during training, rehabilitation, real-time events, and the like, analyze such data and movement in real-time during and after such activities, and provide output, feedback, assessment, and actionable biomechanical data and information about the wearer.

Abstract: Paired drone-based systems and methods are described that inspect a delivery vehicle. For example, a system may include a docking station within the vehicle and a sensor-enabled inspection drone paired to the vehicle and that aerially inspects targeted inspection points corresponding to respective parts of the delivery vehicle.

Abstract: Enhanced systems and methods for collision avoidance of a high value asset with reflective beacons around it using multi-sensor data fusion on a mobile industrial vehicle. The system has a sensing processing system with a LiDAR and camera sensors, and a multi-processor module responsive to the different sensors. The sensing processing system fuses the different sensor data to locate the reflective beacons. A model predictive controller on the vehicle determines possible control solutions where each defines a threshold allowable speed for the vehicle at discrete moments based upon an estimated path to a breaching point projected from the reflective beacons, and then identifies an optimal one of the control solutions based upon a performance cost function and associated with an optimal threshold allowable speed. The system has a vehicle actuator configured to respond and alter vehicle movement to avoid a collision when the vehicle exceeds the optimal threshold allowable speed.

Abstract: The disclosed embodiments include wearable devices and methods for performing courier services. In one implementation, the device includes a depth camera for detecting object depths in a field of view, a scanner for decoding visual codes, a speaker for producing audible sounds in response to an electrical signal, memory, and a processor. The processor may execute instructions to detect a scanning event based on a first signal received from the depth camera, determine a scan region associated with the scanning event, provide a second signal to the scanner causing the scanner to decode a visual code located within the scan region, generate scan data based on a third signal received from the scanner, and provide a fourth signal to the speaker causing the speaker to emit a notification sound. The wearable device may also capture signatures, dimension objects, and disable device functions based on time and place restrictions.

Abstract: The disclosed embodiments include wearable devices and methods for performing courier services. In one implementation, the device includes a depth camera for detecting object depths in a field of view, a scanner for decoding visual codes, a speaker for producing audible sounds in response to an electrical signal, memory, and a processor. The processor may execute instructions to detect a scanning event based on a first signal received from the depth camera, determine a scan region associated with the scanning event, provide a second signal to the scanner causing the scanner to decode a visual code located within the scan region, generate scan data based on a third signal received from the scanner, and provide a fourth signal to the speaker causing the speaker to emit a notification sound. The wearable device may also capture signatures, dimension objects, and disable device functions based on time and place restrictions.

Abstract: Methods, apparatus, and systems are described for dynamically transforming scan data representing a container's loaded volume using a scanning sensor node mounted above storage space within the container. The scanning sensor node generally includes a memory, a depth sensor oriented above and towards the storage space, an identification scanner, and a communications interface to an external managing node. The identification scanner identifies an item being loaded into the storage space and the depth sensor responsively scans the storage space to generate the scan data. The scanning sensor node determines if the item is at least partially not visible to the depth sensor based upon the generated scan data and dynamically transforms the scan data into refined scan data based on this determination and upon material dimension data associated with the item.

Abstract: Paired drone-based systems and methods are described that inspect a delivery vehicle. For example, a system may include a docking station within the vehicle and a sensor-enabled inspection drone paired to the vehicle and that aerially inspects targeted inspection points corresponding to respective parts of the delivery vehicle.

Abstract: An inspection drone exclusively paired to a delivery vehicle identifies targeted inspection points corresponding to respective parts of the vehicle. A sensor on the drone detects inspection information relative to targeted inspection points once the drone has aerially moved proximate to each targeted inspection point. The drone automatically identifies a potential adverse inspection condition for a targeted inspection point based upon the inspection information. The drone responsively transmits an interactive intervention request to a display-enabled transceiver, where the request identifies the potential adverse inspection condition, indicates a need for a verified inspection of that targeted inspection point, and requests feedback regarding that targeted inspection point.

Abstract: Drone-based systems and methods for conducting a modified inspection of a delivery vehicle are described. A system has a delivery vehicle transceiver and an inspection drone paired to the vehicle that aerially inspects the vehicle. The delivery vehicle transceiver has a user interface and a wireless radio, while the paired inspection drone has a housing, onboard controller, memory storage, lifting engines, and a communication interface. The drone's onboard controller is operative to identify different existing delivery vehicle inspection points from an inspection profile record; receive an inspection update message from the communication interface; update the existing delivery vehicle inspection points with additional inspection points to yield a targeted inspection points corresponding to respective parts of the delivery vehicle; and conduct the modified inspection of the delivery vehicle by gathering the detected sensor-based inspection information related to each of the targeted inspection points.