Abstract: A tray assembly is provided. The tray assembly includes a first tray configured to be mounted to a robot; and a second tray provided above the first tray and configured to be rotatably coupled to the first tray. The second tray includes at least one first rolling member provided on a lower surface of the second tray, which faces the first tray, and an elastic member having at least one end which is fixedly connected to the lower surface. When the second tray is rotated relative to the first tray, the second tray is configured to be returned to its original position by virtue of a restoring force of the elastic member of the second tray.

Abstract: A method of detecting a leakage path in an electronic device includes iteratively performing operations until an iteration condition is satisfied. The operations include causing a capacitor to be set to a known state, measuring a voltage level of the capacitor, and storing data indicating the measured voltage level. The operations also include causing the capacitor to be connected to a potential leakage path, remeasuring the voltage level of the capacitor, and storing data indicating the remeasured voltage level. The operations further include comparing the measured voltage level and the remeasured voltage level to detect leakage in the potential leakage path. The iteration condition is satisfied when a difference between the measured voltage level and the remeasured voltage level satisfies a voltage threshold or when a count of iterations performed satisfies an iteration threshold.

Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. A representation is generated for each image using a first machine learning model. One or more second machine learning models are then used to analyze each image using the corresponding representation. The analyses can be provided to a consuming application or process for quality assurance analysis.

Abstract: There is described a floor selection system for location tracking within a structure. A communication component receives sensor data, associated with a beacon received from a tag, from sensors. A processor identifies features based on the sensor data, identifies decision tree stumps arranged in a particular order, assigns weights to the decision tree stumps based on the features and the feature thresholds. The processor further determines whether an aggregate of the weights is greater than a resultant threshold and selects a floor location of the tag based on whether the aggregate of weights is greater than the resultant threshold. The floor location is selected from floor locations of the structure proximal to the sensors.

Abstract: Data is received that includes a feed of images of a plurality of objects passing in front of an inspection camera module forming part of an inspection system. Thereafter, a representation for each image is generated using a first machine learning model and based on the received data. Later, one or more second machine learning models can cluster the images using the corresponding representations into groups that each correspond to one of a plurality of different object attributes. Thereafter, access to the groups can be provided to a consuming application or process for analysis and the like. In some variations, the representations are analyzed by at least one third machine learning model prior to the clustering. In other variations, the representations are analyzed by at least one third machine learning model after the clustering. Related apparatus, systems, and methods are also described.

Abstract: Various embodiments for enforcing safe operation of machinery performing an activity in a three-dimensional (3D) workspace includes computationally generating a 3D spatial representation of the workspace; computationally mapping 3D regions of the workspace corresponding to space occupied by the machinery and a human; and based thereon, restricting operation of the machinery in accordance with a safety protocol during physical performance of the activity. Limited-access zones are defined within which the presence of a human will not affect operation of the machinery.

Abstract: Airway management methods, devices, assemblies and systems. Methods, devices, assemblies and systems may include robotic movement and control of an intubation tube introducer or guide, and may include utilizing image data from one or more image sensors. The methods, devices, assemblies and systems may optionally be used in endotracheal intubation procedures.

Abstract: There is provided a method for controlling a destination of a robot. The method includes the steps of: when information on obstruction of arrival at a first destination of a robot is acquired, determining an obstruction area associated with the arrival obstruction information by clustering adjacent areas around the first destination, determining a destination candidate area around the obstruction area with reference to a size of the robot, and determining an area in the destination candidate area, which is specified on the basis of a location of the robot, as a second destination of the robot.

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: The technology is directed to training a system to generate pick instructions. A teleoperator system may receive data corresponding to a robot attempting a picking task including picking an item of an identified product type from a container. The data may include imagery of an end effector of the robot after the attempted picking task. The teleoperator system may display the imagery on a display and an input indicating whether the picking task was successfully or unsuccessfully performed by the robot may be received. The data may be labeled based on the input and transmitted to a processor for training a learning algorithm for use in generating future pick instructions.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may maintain an first dataset configured to select pick points for objects. The apparatus may receive, from a user device, a user dataset including a user selected pick point associated with at least one object and a first image of the at least one first object. The apparatus may generate a second dataset based at least in part on the first dataset and the user dataset. The apparatus may receive a second image of a second object. The apparatus may select a pick point for the second object using the second dataset and the second image of the second object. The apparatus may send information associated with the pick point selected for the second object to a robotics device for picking up the second object.

Abstract: A robotic system includes a hub assembly rotatable about a vertical axis. A robotic arm has a first end connected to the hub assembly and an opposite second end connected to an end effector, which is configured for holding an item. The system is configured to support an agent on or above the hub assembly for working on the item held by the end effector. The operation of the robotic arm and end effector to move the item does not obstruct operation of the agent.

Abstract: A method for stock keeping in a store includes: accessing an image captured by a fixed camera within the store; retrieving a field of view of the fixed camera; estimating a segment of an inventory structure in the store depicted in the image based on a projection of the field of view onto a planogram of the store; identifying a set of slots within the inventory structure segment; retrieving a product model representing a set of visual characteristics of a product type assigned to a slot, in the set of slots, by the planogram; extracting a constellation of features from the image; if the constellation of features approximates the set of visual characteristics in the product model, detecting presence of a product unit of the product type occupying the inventory structure segment; and representing presence of the product unit, occupying the inventory structure segment, in a realogram.

Abstract: A system, method and apparatus for executing tasks with unmanned vehicles is provided. The system includes an unmanned vehicle comprising: a chassis; a propulsion system configured to move the chassis; sensor(s) configured to sense features around the chassis; a memory storing feature reference data; a communication interface; and a processor configured to: receive, using the interface, a command having task data and a location associated with a given feature; control the propulsion system to move the chassis to the location; while the chassis is moving to the location, determine, using the sensor(s), that the given feature is detected based on the feature reference data; and, responsive to the given feature being detected, control the propulsion system to execute a task based on the task data.

Abstract: Systems and methods for autonomous provision replenishment are disclosed. Parts used in a manufacturing process are stored in an intermediate stock queue. When the parts are consumed by the manufacturing process and the number of parts in the queue falls below a threshold, a provision-replenishment signal is generated. One or more self-driving material-transport vehicles, a fleet-management system, and a provision-notification device.

Abstract: System includes an article supply location that includes a plurality of articles to be sorted, first and second transport vehicles, each having a first position in which an article is stowed about the vehicle and a second position in which the article is deposited into a proximal container, and one or more removal devices that transport the container to a location of further processing. System further includes a control system configured to receive an order for a plurality of disparate articles, determine one destination container of a plurality of destination containers to direct the transport vehicle to deposit a selected article, direct the first transport vehicle to transport a selected article to the destination container, deposit the article in the destination container, and transport the destination container to a location for further processing by manipulation of the removal device.

Abstract: Exemplary embodiments relate to pressurizable housings for a soft robotic actuator. The pressurized housings may be divided into an upper chamber in fluid communication with an internal void of the actuator, and a lower chamber connected to an inlet and an outlet. The upper chamber and lower chamber may be separated by a piston. By supplying a fluid to the lower chamber via the inlet, the piston is moved into the space previously occupied by the upper chamber, which reduces the volume of the upper chamber and increases the pressure in the internal void. This action allows the actuator to be rapidly inflated, and further simplifies the pressurization system and reduces its weight.

Abstract: One variation of a method for autonomously scanning and processing a part includes: accessing a part model representing a part positioned in a work zone adjacent a robotic system; retrieving a sanding head translation speed; retrieving a toolpath for execution on the part defining positions, orientations, and target forces applied by the sanding head to the part. The method includes traversing the sanding head along the toolpath, at the sanding head translation speed; reading a sequence of applied forces from a force sensor coupled to the sanding head at positions along the toolpath; and deviating from the toolpath to maintain the set of applied forces within a threshold difference of a sequence of target forces along the toolpath. In one variation of the method, the robotic system executes a toolpath at a duration less than target duration by selectively varying target force and sanding head translation speed across the part.

Abstract: In various examples, a computer-implemented method of generating instructions for a welding robot. The computer-implemented method comprises identifying an expected position of a candidate seam on a part to be welded based on a Computer Aided Design (CAD) model of the part, scanning a workspace containing the part to produce a representation of the part, identifying the candidate seam on the part based on the representation of the part and the expected position of the candidate seam, determining an actual position of the candidate seam, and generating welding instructions for the welding robot based at least in part on the actual position of the candidate seam.

Abstract: A method includes, storing a set of valid codewords including: a first valid functional codeword representing a functional state of a controller subsystem; a first valid fault codeword representing a fault state of the controller subsystem and characterized by a minimum hamming distance from the first valid functional codeword; a second valid functional codeword representing a functional state of a controller; and a second valid fault codeword representing a fault state of the controller; in response to detecting functional operation of the controller subsystem, storing the first valid functional codeword in a first memory; in response to detecting a match between contents of the first memory and the first valid functional codeword, outputting the second valid functional codeword; in response to detecting a mismatch between contents of the first memory and every codeword in the first set of valid codewords, outputting the second valid fault codeword.