Abstract: An approach to improving optical scanning increases the strength of optical reflection from the build material during fabrication. In some examples, the approach makes use of an additive (or a combination of multiple additives) that increases the received signal strength and/or improves the received signal-to-noise ratio in optical scanning for industrial metrology. Elements not naturally present in the material are introduced in the additives in order to increase fluorescence, scattering or luminescence. Such additives may include one or more of: small molecules, polymers, peptides, proteins, metal or semiconductive nanoparticles, and silicate nanoparticles.

Abstract: This disclosure relates to new multi-modal sensing array architectures that can sense normal and shear forces. Examples include resistive sensing arrays that are used to measure changes in the environment and manufacturing processes to produce multi-modal sensing arrays in a highly-automated and inexpensive fashion. Specifically, a manufacturing process includes a cutting operation and sewing/embroidery technique that creates a fully automated process to produce a resistive sensing array. The new manufacturing process enables the reduction of processing time and materials to produce a functioning sensor without limiting the designs space of achievable sensor geometries. Also presented are sensor reading methodologies for high-speed reading that are capable of sensing vibrations and a wide range of forces. Examples include the use of the new sensor arrays in wearable devices.

Abstract: Systems and methods are provided for estimating 3D poses of a subject based on tactile interactions with the ground. Test subject interactions with the ground are recorded using a sensor system along with reference information (e.g., synchronized video information) for use in correlating tactile information with specific 3D poses, e.g., by training a neural network based on the reference information. Then, tactile information received in response to a given subject interacting with the ground can be used to estimate the 3D pose of the given subject directly, i.e., without reference to corresponding reference information. Certain exemplary embodiments use a sensor system in the form of a pressure sensing carpet or mat, although other types of sensor systems using pressure or other sensors can be used in various alternative embodiments.

Abstract: A method includes generating correction data for a construction material that is used by an additive-manufacturing machine to manufacture an object. This correction data compensates for an interaction of the construction material with first radiation that has been used to illuminate the construction material.

Abstract: A manufacturing system and method involves learning a self-correcting closed-loop control policy through machine reinforcement learning for a manufacturing process that involves on-the-fly adjustment of process parameters to handle inconsistencies in the manufacturing process and material formulations, and controlling operation of a tool configured to interact with or produce a product including dynamically adjusting at least one parameter of the manufacturing process to thereby dynamically adjust operation of the tool based on qualitative performance information derived from at least one sensor applied as feedback to the closed-loop control policy learned through machine reinforcement learning.

Abstract: A method comprises using a three-dimensional additive manufacturing process to produce an interlocking volume, wherein using the additive manufacturing process includes depositing successive layers, each of which includes a first material distributed according to a first interlocking material pattern and a second material distributed according to a second interlocking material pattern, said second material differing from said first material.

Abstract: A number of techniques provide a data efficient and/or computation efficient computer-generated holography, examples of which may be implemented on low-power devices such as smartphones and virtual-reality/augmented-reality devices and provide high fidelity holographic images. The techniques include used of layered depth image representations and end-to-end training of neural network generation of double-phase hologram encoding.

Abstract: Arrangement of the parts, particularly addressing arrangement for 3D fabrication, makes use of spatial frequency domain representations of the parts, such that acceptable (or optionally desirable) relative locations (and optionally orientations) of a part relative to another part or an arrangement of multiple other parts makes use of spatial frequency domain representations of the parts. In some examples, acceptable relative locations may be defined as relative locations that do not result in parts spatially overlapping and/or maintain a desired (e.g., minimum, average, etc.) separation between parts.

Abstract: An additive fabrication approach involves fabricating a platform on a build plate. The fabrication system is then calibrated based on the fabricated platform, and an object is then fabricating on the fabricated platform according to the calibration.

Abstract: An approach to precision additive fabrication uses jetting of cationic compositions in conjunction with a non-contact (e.g., optical) feedback approach. By not requiring contact to control the surface geometry of the object being manufactured, the approach is tolerant of the relative slow curing of the cationic composition, while maintaining the benefit of control of the deposition processes according to feedback during the fabrication processes. This approach provides a way to manufacture precision objects and benefit from material properties of the fabricated objects, for example, with isotropic properties, which may be at least partially a result of the slow curing, and flexible structures, which may not be attainable using conventional jetted acrylates.

Abstract: A method for additive fabrication of an object on a build platform includes depositing material onto a partial fabrication of the object in a number of passes of a printhead over the partial fabrication. The depositing includes repeatedly depositing material onto the partial fabrication in a pass of the printhead over the partial fabrication. The depositing includes depositing a first material onto the partial fabrication at a first height relative to the build platform, and depositing a second material onto the partial fabrication at a second height relative to the build platform, the second height being less than the first height, the depositing of the second material including forming at least one material transition region between the second material at the second height and first material at the second height deposited in a previous pass.

Abstract: Arrangement of the parts, particularly addressing arrangement for 3D fabrication, makes use of spatial frequency domain representations of the parts, such that acceptable (or optionally desirable) relative locations (and optionally orientations) of a part relative to another part or an arrangement of multiple other parts makes use of spatial frequency domain representations of the parts. In some examples, acceptable relative locations may be defined as relative locations that do not result in parts spatially overlapping and/or maintain a desired (e.g., minimum, average, etc.) separation between parts.

Abstract: Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.

Abstract: An additive fabrication approach involves fabricating a platform on a build plate. The fabrication system is then calibrated based on the fabricated platform, and an object is then fabricating on the fabricated platform according to the calibration.

Abstract: Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.

Abstract: A method for additive manufacturing includes forming an object including depositing a first material including a first coloring component and a second material including a second coloring component, wherein both the first material and the second material further include a corresponding fluorescent component, scanning the object, including causing an emission of an optical signal from the object, wherein the emission of the optical signal is caused at least in part by an emission from the fluorescent components interacting with the first coloring component and the second coloring component as it passes from the fluorescent components to the surface of the object, sensing the emission of the optical signal, and determining presence of the first material and the second material based at least in part on the sensed emission of the optical signal.

Abstract: A method for producing a hologram representative of a subject three-dimensional scene includes receiving and storing input digital data characterizing a first image of the subject three-dimensional scene. The method further includes processing the data in a neural network that has been trained to transform the input digital data into a holographic representation of the subject three-dimensional scene, the representation containing phase information characterizing depth and parallax of the scene. The method also includes providing an output of the holographic representation of the subject three-dimensional scene.

Abstract: A profilometer provides, to a controller, a feedback signal indicative of topography of an exposed surface of an object that is being manufactured by a 3d printer. The profilometer includes an emitter and a camera. The emitter illuminates a region of surface of the object with a pattern having an edge that defines a boundary of an illuminated portion of the surface. The camera receives an image that transitions between a first state in which the edge is visible in the image at a location that is indicative of the surface's depth and a second state in which the edge is not visible at all. From this second state, the controller obtains information representative of a depth of the surface.

Abstract: A wearable article comprising a knitted fabric formed in the shape of a glove. A force sensing element coupled to the fabric, the force sensing element comprising a resistive sensing system and a fluidic sensing system comprising one or more soft tubes coupled to a surface of the wearable glove wherein the resistive and fluid sensing systems correspond to first and second different sensor modalities which are physically decoupled. Control circuitry is coupled to receive signals from both the resistive sensing system and the fluidic sensing system and to combine resistive and fluidic sensing system signals provided thereto to perform at least one of: pose estimation, environment sensing, human state sensing, and static and dynamic task identification.

Abstract: A method for additive fabrication by 3D printing includes processing model data representing material transition boundaries of an object to be printed to form build data for use in controlling printing of a plurality of successive layers to form the object, the build data comprising, for each location of a plurality of locations in a two-dimensional arrangement, material transition data for representing heights of material transitions in a third dimension, and repeating for each layer of the plurality of successive layers, receiving surface height data representing a height of a partial fabrication of the object at respective locations of a plurality of locations on a surface of the partial fabrication for each location of the plurality of locations, using the height at the location to access the material transition data corresponding to the location in the build data, and using the material transition data to determine material to be deposited at that location, and causing emission of the determined material