Abstract: A robotic hand system can comprise a palm region and one or more fingers, each finger comprising an actuator device; a proximal member having a first end mechanically coupled to the palm region robot and configured to rotate around a first pivot relative to the palm region; a distal member having a first end mechanically coupled to a second end of the proximal member and configured to rotate around a second pivot relative to the proximal member; and a cable having a first portion coupled to the actuator and a second portion extending along the proximal member and the distal member, the second portion separated away from the first pivot and the second pivot and having an end with a higher dimension than a diameter of the cable, the end with higher dimension structured to engage the distal member when the cable is pulled by the actuator.

Abstract: An automotive sun visor is disclosed with enhanced functionality and aesthetic appeal for vehicle interiors. The sun visor includes a frame with a rotary detent mechanism housed within a hinge tube, facilitating precise rotational movement and secure positioning. The frame is constructed from two heat-welded plastic frame halves, eliminating the need for an expanded polypropylene layer, and reducing thickness. The sun visor features an integrated mirror made from advanced materials such as gorilla glass or polycarbonate, and LED lamps for illumination. The rotary detent mechanism comprises a detent bar, detent springs, and a detent subframe, providing a clicking action for tactile feedback when the sun visor reaches a stowed position. The sun visor's design allows for axial adjustment and pivotal movement between stowed and operational positions, contributing to safety and comfort within the vehicle.

Abstract: Embodiments include systems and methods for processing sensor data and generating operational instructions of hardware of egos (e.g., autonomous vehicles, robots). The ego includes any number of machine-learning architectures, often neural network architectures, for processing sensor data and recognizing the environment around the ego and making decisions on the ego's behavior. The neural network architectures of the ego ingest sensor data and execute any number of operations related to a particular domain or task, such as object recognition or path planning, using the sensor data. A graph partitioner is trained to assign functions in the software of the neural networks and the sensor data to certain hardware processing units. Several compilers are used to generate the instructions based upon the assigned type of processing unit.

Abstract: Systems and methods can include a computing system obtaining data including a plurality of data elements associated with a plurality of indices, where each index is associated with one or more data elements, generating a data file storing the plurality of data elements according to a predefined file format including a header and a plurality of data rows, where each data row corresponds to a respective index and storing the one or more data elements associated with the respective index, and the header includes, for each row, an association between the respective index and a corresponding data offset indicative of a memory position of the data row, determining, using an indication of a first index and the header, a first memory position of a data row corresponding to the first index; and accessing, using the first memory position, at least one data element associated with the first index.

Abstract: Disclosed herein are methods and systems for using artificial intelligence modeling techniques to train and execute an artificial intelligence model to analyze camera feed received from an ego to predict surface data for various surfaces surrounding the ego. A method comprises inputting, using one or more cameras of an ego object, image data of a space around the ego object into an artificial intelligence model; predicting, by executing the artificial intelligence model, a surface attribute of one or more surfaces of the space around the ego object; and generating a dataset based on the one or more surfaces and their corresponding surface attribute.

Abstract: A unitary busbar provides power from one connection point in an electric vehicle to another connection point. The unitary busbar includes a central solid core conductor, an insulation layer over the solid core conductor, and an electromagnetic shield fitted around the insulator. The unitary busbar is capable of being bent into specific configurations that allow it to conform to the body of an electric vehicle.

Abstract: One or more aspects of the present disclosure relate to methods, systems, and devices related to a system for pre-heating an electrode foil, including a chimney and a heating device. The chimney formed between an inner surface of a heated wall and an inner surface of a passive wall, the chimney having a foil inlet at a first end and a foil outlet at a second end adjacent to a nip of a heated calender roll device. The heating device may be configured to heat the electrode foil and positioned adjacent to an outer surface of the heated wall, where the heating device includes a gas inlet, a heater and a nozzle adjacent to the foil outlet and in fluid communication with the heater, the nozzle including a bend configured to direct a flow of gas to the inner surface of the heated wall and towards the foil inlet.

Abstract: A cold plate with an integrated sliding pedestal and a processing system including the same are provided. In one aspect, the processing system includes a printed circuit board (PCB), a first electronic component arranged over the PCB, and a thermal interface material (TIM) arranged over the first electronic component. The system includes at least one sliding pedestal arranged over the TIM. The sliding pedestal is configured to be spaced a variable distance from the PCB. The system also includes a cold plate arranged over the sliding pedestal and configured to provide a coolant to the sliding pedestal and to cool a second electronic component.

Abstract: The present disclosure pertains to a glare shield designed to enhance the performance of vehicle camera systems, particularly those used in autonomous and semi-autonomous vehicles. The glare shield features a textured surface composed of an array of micro-cones, or cone-shaped formations, which serve to scatter incident light in various directions, thereby reducing glare and improving camera vision. The micro-cones are optimized in size, angle, and orientation to minimize Total Hemispherical Reflectance (THR) and reflection penalty, enhancing the camera's ability to accurately interpret visual data. Additionally, the glare shield may include an electromechanical system for dynamic orientation adjustment in response to the position of external light sources, such as the sun. The manufacturing process of the glare shield utilizes a sintered tool steel insert, facilitating venting during molding and ensuring the precision of the cone-shaped texture.

Abstract: The systems and methods of the present disclosure can include an interlock system. The interlock system can include a plate defining a first aperture, a second aperture, and a third aperture, a spacer removably coupled to the plate and extending at least partially through the second aperture, the spacer including a first adjustable tab and a second adjustable tab, the spacer movable through the second aperture via the first adjustable tab and the second adjustable tab, a first electrical connector coupled to the plate and extending at least partially through the first aperture, the first electrical connector configured to rotate to form an electrical connection, and a second electrical connector coupled to the plate and extending at least partially through the third aperture, the second electrical connector configured to rotate to form the electrical connection.

Abstract: Various vehicle technologies for improving positioning accuracy despite various factors that affect signals from navigation satellites. Such positioning accuracy is increased via determining an offset and communicating the offset in various ways or via sharing of raw positioning data between a plurality of devices, where at least one knows its location sufficiently accurately, for use in differential algorithms.

Abstract: Disclosed herein are three-dimensional (3D) tactile sensors and methods for manufacturing the same. A method includes providing a first substrate material for the 3D tactile sensor, defining a set of first conductive regions for the 3D tactile sensor on the first substrate material, coupling a separator layer between the first substrate material including the set of first conductive regions and a second substrate material having a set of second conductive regions to create a stack, and forming the stack according to a target 3D structure. The substrate materials can include flexible polymers, and the conductive regions can be defined by processes such as screen printing, etching, laser-direct structuring, pad-printing, or 3D deposition. The separator layer can comprise a dielectric or piezoresistive material. The 3D tactile sensors can conform to curved geometries and can be used for measuring surface force, touch, and pressure.

Abstract: One or more aspects of the present disclosure relate to the configuration and management of data communications associated with a vehicle. By way of illustrative example, aspects of the present application correspond to management of data communications to obtain data generated or collected by a vehicle (e.g., “vehicle data”), which can include, but is not limited to, logs of information previously collected or generated by sensor and processing components, current vehicle data, or third-party data collected by the vehicle, and the like. In another illustrative examples, aspects of the present application correspond to management of data communications to provide configuration data or executable code to a vehicle, such as diagnostic applications, repair applications, and the like.

Abstract: Systems and methods for training machine learning algorithms utilized for autonomous driving. An example method includes creating driving environments based at least on vision based image data received from a vehicle; simulating driving a virtual vehicle by importing driving environment scenario; in response to completing the simulation, analyzing simulated results; determining optimized driving parameters associated with the driving environment scenario; and generating a set of machine learning algorithms training data based on the determined optimized driving parameters. The driving environment scenario is based at least on the created driving environment.

Abstract: Disclosed herein are systems and methods for quantizing floating-point values during operation of robotic systems. For example, a system can be configured to receive input data having multiple values represented in a floating-point format and determine a maximum absolute value from these values. The system can adjust the representation of each value by removing at least one bit from the exponent portion and redistributing it to the mantissa portion. In examples, the system can also extract a sign bit and align each value by shifting each bit. Based on the adjusted values, the system can perform dynamic quantization of the input data based at least in part on a scaling value determined using the maximum absolute value. The input data can then be provided as an input to at least a portion of a neural network during execution of one or more operations by the neural network.

Abstract: Disclosed herein are methods and systems for a navigation paradigm. One method includes receiving a set of quantized values resulting from a matrix multiplication of quantized query and key vectors, the set of quantized values corresponding to sensor data associated with the ego; identifying a maximum value using an integer comparison operation; for at least one quantized value in the set of quantized values, computing a difference between the quantized value and the maximum value; executing a bit shift operation, on the difference between the quantized value and the maximum value, corresponding to a power-of-two quantization scale to generate bit-shifted values; executing a base-2 exponentiation operation to the bit shifted values to generate base-2 exponentiated values; aggregating the base-2 exponentiated values to generate an aggregated value; and executing a model using the aggregated value to output a navigational instruction to be executed by the ego.

Abstract: Embodiments described herein provide for computing masked scores in transformer models without materializing a full mask. A matrix is partitioned into submatrices based on available processing elements. At least one element is initialized with row and column index values and evaluates a masking condition using a comparison operation, which is fused into the softmax computation. This approach supports causal and batched masks with minimal overhead and is well-suited for applications such as autonomous navigation, where computed weights guide downstream decision-making.