Abstract: A autonomous off-road vehicle (AOV) accesses a pile plan map indicating a plurality of locations in a geographic area at which piles are to be installed. The AOV selects a first location and a second location from the plurality of locations using the pile plan map. The AOV autonomously navigates to the first location. The AOV autonomously loads a first pile onto a driving tool of the AOV. The AOV autonomously drives the first pile into the ground at the first location using the driving tool. The AOV autonomously navigates to the second location. the AOV autonomously loads a second pile onto the driving tool. And the AOV autonomously drives the second pile into the ground at the second location using the driving tool.

Abstract: Systems and methods for the application of surface normal calculations are illustrated. One embodiment includes a system for navigation, including: a processor; and instructions stored in a memory that when executed by the processor direct the processor. The processor obtains a set of sensor data, wherein sensor data includes a plurality of polarized images. The processor retrieves at least one navigation query; and a plurality of key-value pairs based on the polarized images. The processor inputs the at least one navigation query and the plurality of key-value pairs into a Cross-Attention Transformer that provides a set of weighted sums, wherein each weighted sum corresponds to: a certain key-value pair from the plurality of key-value pairs; and a certain sensor. The processor updates a model based on the set of weighted sums. The processor navigates the system within a 3D environment according, at least in part, to the model.

Abstract: In some examples, a method for determining weldable and unweldable portions of a seam comprises receiving a representation of a part including the seam. The method also includes discretizing a representation of the seam into a plurality of waypoints. The method also includes evaluating each waypoint from the plurality of waypoints for feasibility of welding. The method further includes generating a weld path through at least a subset of the plurality of waypoints in accordance with the feasibility of welding.

Abstract: A walker with an automated power drive system is disclosed. The walker comprises a rigid frame comprising a left grip and a right grip; a plurality of wheels affixed to the rigid frame; a plurality of drive motors integrally mounted in the plurality of wheels; and a drive motor controller configured to power the plurality of drive motors.

Abstract: A robotic system for food preparation has a compact form factor and enables processes for dispensing food ingredients, weighing ingredients, processing ingredients, and storing and transferring ingredients in a tight space, such as within a kitchen cabinet or similar enclosure. The robotic system can also be put to use in larger commercial settings. The robotic system includes one or more gantry subsystems to translate and rotate tools relative to orthogonal axes. An ingredient storage subsystem includes multiple ingredient storage containers, each having a dispenser actuatable by an ingredient dispensing mechanism. A sensor subsystem includes a camera, a temperature sensor, or a weight sensor to detect presence or absence of objects at locations within the robotic apparatus, or to determine weight of ingredients. One or more cooking appliances have lids that can be inverted to receive and weigh dispensed ingredient(s), and transfer the ingredient(s) into the cooking appliance(s).

Abstract: Embodiments are directed to perceiving scene features using event sensors and image sensors. Enclosures mounted may be on structures arranged to establish a boundary where each enclosure includes an event camera, a beam generator, or a frame camera. The beam generators may be employed to scan paths across objects in a scene that may be outside the boundary. Events may be determined based on detection of beam reflections corresponding to the objects. Trajectories associated with the objects may be determined based on the paths and the events. Objects that may be authorized may be determined based on trajectories associated with authorized objects. Objects in the scene that may be unauthorized may be determined based on trajectories associated with the unauthorized objects. A representation of the unauthorized objects may be determined such that a position and an orientation of the unauthorized objects in the scene may be based on the trajectories.

Abstract: Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated, and an output stream may be generated including the set of composite frames to be played back in chronological order.

Abstract: A strain-wave gear assembly in accordance with at least some embodiments of the present technology includes a circular spline, a flexspline, and a wave generator operably associated with one another. Relative rotation between the flexspline and the wave generator causes relative rotation between the circular spline and the flexspline about an axis. The strain-wave gear assembly further includes a first bridge circuit configured to generate a first electrical signal corresponding to strain at a first portion of flexspline. The strain-wave gear assembly also includes a second bridge circuit configured to generate a second electrical signal corresponding to strain at a second portion of flexspline circumferentially offset from the first portion of the flexspline about the axis. The first bridge circuit includes a first resistor at the first portion of the flexspline. Similarly, the second bridge circuit includes a second resistor at the second portion of the flexspline.

Abstract: One variation of a method includes: accessing a maximum deflection distance of a workpiece; defining a first workpiece region characterized by a first compliance range; defining a second workpiece region characterized by a second compliance range greater than the first compliance range; assigning a nominal target force to the workpiece; navigating a sanding head across the first workpiece region during a processing cycle; driving the sanding head below a virtual unloaded surface of the workpiece stored in the virtual model to maintain forces, of the sanding head on the first workpiece region, approximating the nominal target force; calculating a maximum offset between the positions of the sanding head in the first workpiece region and the virtual unloaded surface; and, in response to the first maximum offset approaching the maximum deflection distance, assigning a lower target force to the second workpiece region of the workpiece.

Abstract: Embodiments are directed to perceiving scene features using event sensors and image sensors. Paths may be scanned across objects in a scene with one or more beams. Images of the scene may be captured with frame cameras. Events may be generated based on detection of beam reflections that correspond to the objects. Trajectories may be based on the paths and the events. A distribution of intensity associated with the trajectories may be determined based on the energy associated with the traces in the images. Centroids for the trajectories may be determined based on the distribution of the intensity of energy, a resolution of the frame cameras, or timestamps associated with the events. Enhanced trajectories may be generated based on the centroids such that the enhanced trajectories may be provided to a modeling engine that executes actions based on the enhanced trajectories and the objects.

Abstract: A method includes: compiling images, captured by an end effector traversing a scan path over a workpiece, into a virtual model of the workpiece; generating a toolpath based on a geometry of the workpiece represented in the virtual model; and assigning a target force to the workpiece. The method also includes, during a processing cycle: navigating a sanding head, arranged on the end effector, across the workpiece according to the toolpath; based on force values output by a force sensor coupled to the sanding head, deviating the sanding head from the toolpath to maintain forces of the sanding head on the workpiece proximal the target force; and tracking a sequence of positions of a reference point on the sanding head, traversing the workpiece, in contact with the workpiece. The method also includes transforming the virtual model into alignment with the sequence of positions of the reference point.

Abstract: A method includes: accessing a toolpath and processing parameters—including a target force and feed rate—assigned to a region of a workpiece; and accessing a wear model representing abrasive degradation of a sanding pad arranged on a sanding head. The method also includes, during a processing cycle: accessing force values output by a force sensor coupled to the sanding head; navigating the sanding head across the workpiece region according to the toolpath and, based on the force values deviating the sanding head from the toolpath to maintain forces of the sanding head on the workpiece region proximal the target force; accessing contact characteristics representing contact between the sanding pad and the workpiece; estimating abrasive degradation of the sanding pad based on the wear model and the sequence of contact characteristics; and modifying the set of processing parameters based on the abrasive degradation.

Abstract: This disclosure provides systems and methods for controlling a vehicle. The method comprises receiving data from a set of sensors, wherein the data represents objects or obstacles in an environment of the autonomous vehicle; identifying objects or obstacles from the received data; determining multiple sets of attributes of the objects or obstacles, wherein each set of attributes of the objects or obstacles are determined based on data received by an individual sensor; determining a candidate trajectory for the autonomous vehicle based on the multiple sets of attributes of the objects or obstacles; and controlling the autonomous vehicle according to the candidate trajectory.

Abstract: A table attach support is configured to secure a medical device to a patient table having a patient supporting surface. The table attach support comprises: a first engagement mechanism including an attachment mechanism and a locking mechanism; a second engagement mechanism; and an extension member extending between the first engagement mechanism and the second engagement mechanism. The attachment mechanism is configured to actuate from a first position to a second position to secure the table attach support to the patient table. The locking mechanism is configured to lock the attachment mechanism in the second position.

Abstract: Systems and methods for detecting a presence of water along a surface and adjusting a speed of a vehicle are provided. The method comprises generating one or more data points from one or more sensors coupled to a vehicle, and, using a processor, determining, based on the one or more data points, whether water is present along a surface, when water is present along the surface, determining a speed adjustment of the vehicle based on the water present along the surface, and generating a control signal configured to cause the vehicle to adjust a speed of the vehicle according to the speed adjustment.

Abstract: A robotic end effector tool having multiple manipulator elements. The end effector includes a body, a suction cup movable relative to the body between a retracted position and an extended position, a plurality of fingers spaced around the suction cup and being actuatable between an open condition and a clamped condition, and a roller coupled to at least one of the fingers such that the roller is arranged to rotate about a first axis. The combination of the suction cup, the fingers and the rollers are arranged to pick an item and adjust the orientation of an object without setting the object down.

Abstract: An order fulfillment and delivery system for autonomously fulfilling orders while en route to a delivery location. The system includes a delivery vehicle having a storage area, a robotic system at least partially disposed within the storage area and one or more processors. The one or more processors being configured to receive an order of one or more inventory items, generate container retrieval instructions for the robotic system to perform based on the received order and transmit to the robotic system the container retrieval instructions to perform. The robot system includes a container retrieval device movable in at least two dimensions to engage and move a container, based upon the container retrieval instructions, from a first location within the delivery vehicle to a second location within the delivery vehicle.

Abstract: An automated mushroom harvesting system for mounting to a vertical mushroom rack comprises a robot having a frame mounted to a vertical carriage assembly. A SCARA arm is slidably mounted to the vertical carriage assembly by a vertical stage, operable to move the SCARA arm along a vertical mast. The SCARA arm moves the end effector in a horizontal plane for harvesting mushrooms, above the surface of the mushroom bed and into and out of the confines of the mushroom rack, and the vertical stage moves the SCARA arm in a vertical direction so as to access the mushrooms in a bed and to access mushroom beds on different levels of the vertical mushroom rack. An end effector having a helically reinforced neck and a graduated elasticity modulus, with a lower elasticity modulus in the neck and a higher elasticity in the cup, is also provided.

Abstract: Embodiments herein include an automated vehicle performing for identifying vehicles and lanes in roadway by an autonomy system of an automated vehicle. The autonomy system gathers image inputs from cameras or other sensors. The autonomy system assigns index values to the driving lanes and shoulder lanes, and then assigns the index values to the vehicles. The autonomy system generates data segments from the image data, corresponding to creating segments of an image, such that a single image is segmented for portions of the image, such as segmented outputs of each lane line or segmented outputs of portions of the vehicle. The autonomy system compares the segmented portions of the image to detect that a lane contains a vehicle.

Abstract: Embodiments herein include an automated vehicle performing for identifying vehicles and lanes in roadway by an autonomy system of an automated vehicle. The autonomy system gathers image inputs from cameras or other sensors. The autonomy system assigns index values to the driving lanes and shoulder lanes, and then assigns the index values to the vehicles. The autonomy system generates data segments from the image data, corresponding to creating segments of an image, such that a single image is segmented for portions of the image, such as segmented outputs of each lane line or segmented outputs of portions of the vehicle. The autonomy system compares the segmented portions of the image to detect that a lane contains a vehicle.