Abstract: A method for controlling a robotic system includes determining a location and/or a pose of a power system component based on data received from one or more sensors, and determining a mapping of a location of a robotic system within a model of an external environment of the robotic system based on the data. The model of the external environment provides locations of objects external to the robotic system. A sequence of movements of components of the robotic system is determined to perform maintenance on the power system component based on the locations of the objects external to the robotic system and/or the location or pose of the power system component. One or more control signals are communicated to remotely control movement of the components of the robotic system based on the sequence or movements of the components to perform maintenance on the power system component.

Abstract: Systems and apparatuses for dual-mode pressure-sensing and illumination mats are provided. The systems include a surface that includes a plurality of row wires and a plurality of column wires forming intersection points. At the intersection points, the systems include a pressure sensor configured to sense a pressure exerted upon the surface and a light emitting diode (LED) connected in parallel. The systems include a controller coupled to the selector and configured to control operation of the surface, wherein the controller is configured to operate in one of a pressure-sensing mode or an illumination mode. When the controller is configured to operate in the pressure-sensing mode, the controller scans pressure values provided by the pressure sensors. When the controller is configured to operate in the illumination mode, the controller configures the surface to enable the LEDs in accordance with an illumination pattern.

Abstract: A system includes a first robotic machine having a first set of capabilities for interacting with a target object on stationary equipment; a second robotic machine having a second set of capabilities for interacting with the target object; and a task manager that can determine capability requirements to perform a task on the target object. The task has an associated series of sub-tasks. The task manager can assign a first sequence of sub-tasks for performance by the first robotic machine based on the first set of capabilities and a second sequence of sub-tasks for performance by the second robotic machine based on the second set of capabilities. The first and second robotic machines can coordinate performance of the first sequence of sub-tasks by the first robotic machine with performance of the second sequence of sub-tasks by the second robotic machine to accomplish the task.

Abstract: A robotic system includes a controller configured to obtain image data from one or more optical sensors and to determine one or more of a location and/or pose of a vehicle component based on the image data. The controller also is configured to determine a model of an external environment of the robotic system based on the image data and to determine tasks to be performed by components of the robotic system to perform maintenance on the vehicle component. The controller also is configured to assign the tasks to the components of the robotic system and to communicate control signals to the components of the robotic system to autonomously control the robotic system to perform the maintenance on the vehicle component.

Abstract: In an embodiment, the present invention is a method for ranging which includes emitting an acoustic signal at a first frequency, monitoring for a first acoustic response signal at a second frequency, and responsive to receiving the first acoustic response signal within a predetermined amount of time, (1) calculating a first distance between a first device and a second device based on a duration between emitting the first acoustic signal and receiving the first acoustic response signal, and (2) broadcast a first message including the distance and an identifier.

Abstract: A server includes a communications interface; and a processor connected with the communications interface, the processor configured to: receive, from each of a plurality of capture nodes: (i) an initial point cloud depicting a portion of a capture volume, and (ii) boundary values corresponding to the initial point cloud; generate a bounding box from the boundary values received from the capture nodes; select respective portions of each initial point cloud based on the bounding box; and combine the selected portions to generate a combined point cloud.

Abstract: A fastener system and method includes a controller having one or more processors that obtain image information associated with a tie plate. The tie plate includes one or more holes, and each hole is configured to receive a fastener. A fastener driving unit drives the fastener into at least one of the one or more holes. The controller controls movement of the fastener driving unit to move the fastener driving unit to a location corresponding to the at least one hole, and the controller controls movement of the fastener driving unit to drive the fastener into the at least one hole.

Abstract: A calibration system includes: a reference device including an array of markers at predetermined positions; a camera; and a computing device configured to: store reference data defining the predetermined positions of the markers in a capture volume frame of reference; obtain a calibration image of the reference device captured by the camera; detect image positions of the markers in the calibration image, the image positions defined according to camera frame of reference; based on the image positions of the markers and the reference data, generate calibration data mapping coordinates in the camera frame of reference to coordinates in the capture volume frame of reference.

Abstract: At least some embodiments of the present invention are directed to RFID reader systems configured to estimate a directional bearing of an RFID tag. In an embodiment, the present invention is an RFID system configured in a way that upon a detection of a variance in the direction of a maximum RSSI value for a given RFID tag in response to a plurality of interrogation signals transmitted by an RFID reader over a respective plurality of different directions, the RFID reader retransmits the plurality of interrogation signals over the respective plurality of different directions with successively lower power levels until the only response(s) being received no longer exhibit the previously detected variance.

Abstract: In some implementations, a monitoring device associated with a lanyard device may detect that a portion of a strap of the lanyard device has extended from a strap core of the lanyard device. The monitoring device may generate a notification that the portion of the strap has extended from the strap core, wherein the lanyard device is configured to anchor the user to a support structure via the strap, and wherein a sensor within the monitoring device is configured to monitor a position of the strap relative to the strap core. The monitoring device may transmit, to a management device, the notification that the portion of the strap has extended from the strap core, wherein the notification includes an identifier associated with the lanyard device to alert the management device of a hazardous event involving the user.

Abstract: A system includes a first robotic machine having a first set of capabilities for interacting with a target object on stationary equipment; a second robotic machine having a second set of capabilities for interacting with the target object; and a task manager that can determine capability requirements to perform a task on the target object. The task has an associated series of sub-tasks. The task manager can assign a first sequence of sub-tasks for performance by the first robotic machine based on the first set of capabilities and a second sequence of sub-tasks for performance by the second robotic machine based on the second set of capabilities. The first and second robotic machines can coordinate performance of the first sequence of sub-tasks by the first robotic machine with performance of the second sequence of sub-tasks by the second robotic machine to accomplish the task.

Abstract: Disclosed herein are EPDM-VNB copolymers that have a low molecular weight and are liquid at room temperature. The copolymers include: ethylene, propylene, and vinyl norbornene, where the copolymers have a molecular weight from about 2,500 g/mol to about 1,000,000 g/mol, and where the copolymers have a viscosity from about 1,000 cP to about 2,500,000 cP at 100° C.

Abstract: A system for unloading items from a container includes: a movable chassis configured for deployment into an open end of the container, to a selectable depth within the container; a conveyor supported by the movable chassis, the conveyor configured to extend from an input end positioned within the container according to the selectable depth to a output end external to the container; and a bulk transfer assembly supported by the movable chassis at the selectable depth and an adjustable height, the bulk transfer assembly including: (i) a feeder configured to engage with the items and displace a portion of the items towards the conveyor, and (ii) a collector configured to receive and direct the displaced items to the input end of the conveyor for transport to the output end of the conveyor.

Abstract: A system includes a first robotic machine having a first set of capabilities for interacting with a target object on stationary equipment; a second robotic machine having a second set of capabilities for interacting with the target object; and a task manager that can determine capability requirements to perform a task on the target object. The task has an associated series of sub-tasks. The task manager can assign a first sequence of sub-tasks for performance by the first robotic machine based on the first set of capabilities and a second sequence of sub-tasks for performance by the second robotic machine based on the second set of capabilities. The first and second robotic machines can coordinate performance of the first sequence of sub-tasks by the first robotic machine with performance of the second sequence of sub-tasks by the second robotic machine to accomplish the task.

Abstract: Methods, systems, and apparatus for initializing a dimensioning system based on a location of a vehicle carrying an object to be dimensioned. An example method disclosed herein includes receiving, from a location system, location data indicating a location of a vehicle carrying an object; responsive to the location data indicating that the vehicle is approaching an imaging area, initializing, using a logic circuit, a sensor to be primed for capturing data representative of the object; receiving, from a motion detector carried by the vehicle, motion data indicating a speed of the vehicle; and triggering, using the logic circuitry, the sensor to capture data representative of the object at a sample rate based on the speed of the vehicle.

Abstract: A mechanical arm assembly including a bendable arm. In some embodiments, the bendable arm includes a body including a plurality of links and a plurality of joints movably coupling the plurality of links; and a plurality of wires including one or more control wires. For example, the body encloses at least a portion of each of the plurality of wires and defines a plurality of openings with each wire in the plurality of wires extending through at least one respective opening of the plurality of openings. The one or more control wires may be moveably positioned within at least a portion of the body enclosing the one or more control wires. In some embodiments, each control wire terminates at a corresponding link. For example, a first control wire terminates at a first link and a second control wire terminates at a second link of the plurality of links.

Abstract: A data capture system for object dimensioning includes: a projector to project a structured light pattern onto a capture volume to illuminate an object in the capture volume; a depth sensor; a set of image sensors; and a processor configured to: responsive to detection of the object, control the depth sensor to obtain a depth scan of the object; based on the depth scan, determine an attribute of the object; select projection parameters based on the attribute; control the projector to illuminate the object according to the projection parameters; and control the set of image sensors to capture respective images of the object.

Abstract: An adhesive label application system is disclosed. The adhesive label application system may detect that a label has been received within an adhesive application zone of a robotic device. The adhesive label application system may remove, via a first mechanism, a portion of the label from the adhesive application zone. The adhesive label application system may convey, via a second mechanism, an adhesive, of an adhesive-carrying tape, to the adhesive application zone. The adhesive label application system may position, via the first mechanism, the portion of the label within the adhesive application zone after the adhesive is positioned within the adhesive application zone. The adhesive label application system may press, via a third mechanism, the portion of the label to the adhesive to apply the adhesive to the label. The adhesive label application system may configure the label to be adhered to a receiving surface via the adhesive.

Abstract: A control system includes a task manager that can determine capability requirements to perform a task on the target object. The task has an associated series of sub-tasks, with the sub-tasks having one or more capability requirements. The task manager selects and assigns a first sequence of sub-tasks to a first robotic machine that has a first set of capabilities and operates according to a first mode of operation. The task manager selects and assigns a second sequence of sub-tasks to a second robotic machine that has a second set of capabilities and operates according to a second mode of operation. The task manager selects the first robotic machine based on the first set of capabilities and the first mode of operation of the first robotic machine, and selects the second robotic machine based on the second set of capabilities and the second mode of operation.

Abstract: A data capture system includes: a first capture node including: a first set of image sensors, and a first computing device connected with the first set of image sensors and configured to: control the first set of image sensors to capture respective images of an object within a capture volume; generate a first point cloud based on the images; and transmit the first point cloud to a data capture server for dimensioning of the object; and a second capture node including: a second set of image sensors, and a second computing device connected with the second set of image sensors and configured to: control the second set of image sensors to capture respective images of the object; generate a second point cloud based on the images; and transmit the second point cloud to the data capture server.