Abstract: Methods and systems for automating surgical procedures in model organisms. The system includes a user input panel, a trained computer vision system, a server, and articulated robotic arm. The system may further include an analytical scale, an anesthesia chamber, a tube labeling system, a tissue freezing system, and a biohazard waste disposal system. The computer vision system communicates with the robotic arm to coordinate tissue collections and common research procedures such as injections via recognition models related to detection, identification, localization, and classification. The central server provides rapid synchronization of data between the local machine and a cloud account system for real-time data analytics.

Abstract: A system that uses 3D scanning and a process agnostic pointing device that is used in conjunction with user input to create a robot program.

Abstract: A method of constructing an inflatable fluidic actuator that includes generating a tube configuration with one or more shapes of fluid-impermeable membrane material, the tube configuration having a first tube end and a second tube end and an internal tube face and an external tube face. The method also includes coupling a first and second interface to the tube configuration at the first and second tube ends by respectively coupling each interface to the tube configuration at a respective tube end by generating at least one of: a first circumferential bond between the fluid-impermeable membrane material and one or more sidewalls of the interface; and an external face bond between fluid-impermeable membrane material at the tube end onto an external face of the interface.

Abstract: An active shooter response system is disclosed. The system utilizes a system of sensors and drones which may receive data at a base station. The base station may centrally process the data from the drones and the sensors so that a coordinated attack on the active shooter can be formulated either automatically without human intervention or manually at the base station by an operator of the system.

Abstract: When an EMV performs an action comprising moving a tool of the EMV through soil or other material, the EMV can measure a current speed of the tool through the material and a current kinematic pressure exerted on the tool by the material. Using the measured current speed and kinematic pressure, the EMV system can use a machine learned model to determine one or more soil parameters of the material. The EMV can then make decisions based on the soil parameters, such as by selecting a tool speed for the EMV based on the determined soil parameters.

Abstract: There is described a system for tracking beacon tags comprising a communication component and a processor. The communication component receives a beacon from a beacon tag and transmit an acknowledgment of the beacon. The processor identifies a tag characteristic associated with the beacon tag and generates a tag instruction based on the tag characteristic. The tag instruction includes a beaconing rate for the beacon tag, and the acknowledgment includes the tag instruction. There is also described a beacon tag for operating with a tracking system comprising a communication component and a processor. The communication component transmits a first beacon, receive an acknowledgment associated with the beacon, and transmit a second beacon from the beacon tag based on an adjusted beaconing rate. The processor identifies a tag instruction of the acknowledgment and adjusts the beaconing rate of the beacon tag based on the tag instruction.

Abstract: A robot may include a spatiotemporal controller for controlling the kinematics or movements of the robot via continuous and/or granular adjustments to the actuators that perform the physical operations of the robot. The spatiotemporal controller may continuously and/or granularly adjust the actuators to align completion or execution of different objectives or waypoints from a spatiotemporal plan within time intervals allotted for each objective by the spatiotemporal plan. The spatiotemporal controller may also continuously and/or granularly adjust the actuators to workaround unexpected conflicts that may arise during the execution of an objective and delays that result from a workaround while still completing the objective within the allotted time interval. By completing objectives within the allotted time intervals, the spatiotemporal controller may ensure that conflicts do not arise as the robots simultaneously operate in the site using some of the same shared resource.

Abstract: In one example, a method includes combining multi-sensor inspection (MIS) data from sensors of inspection platform(s); using respective metadata to select one or more tools for translating the MSI data into a common file format; applying the one or more tools to the first and second MSI data to obtain respective common data formatted files; and providing, via a cloud computing device, access to the common data formatted files. Other implementations may be described and claimed.

Abstract: A safety system presets a corresponding safety module and a safety function suitable for each operation mode. When a mode switching device switches among the operation modes of the robot, the safety system starts the corresponding safety module and the safety function for the chosen operation mode to ensure the special safety module and safety function for each operation mode.

Abstract: A method comprising: accessing a response mapping defining a set of safety-critical functions associated with a safety-critical latency threshold and a set of safety responses, each safety response corresponding to a safety-critical function; executing a time-synchronization protocol with a transmitting system to calculate a clock reference; accessing a safety message schedule indicating an expected arrival time for each safety message in a series of safety messages based on the clock reference; for each safety message in the series of safety messages, calculating a latency of the safety message based on an arrival time of the safety message and the expected arrival time; and in response to a latency of a current safety message in the series of safety messages exceeding the safety-critical latency threshold, initiating the safety response corresponding to the safety-critical function for each safety-critical function in the set of safety-critical functions.

Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an agricultural observation and treatment system and method of operation. The agricultural treatment system uses a treatment unit for emitting a laser at agricultural objects. The treatment unit is configured with a treatment head assembly that includes a moveable treatment head with one or more laser emitting tips. A first and second motor assembly are operated by the treatment unit to control the movement of the treatment head. The first motor assembly includes a first motor rotatable in a first rotational axis. A first linkage assembly is connected to the first motor and the treatment head assembly. The first linkage assembly is rotatable by the first motor. The second linkage assembly is rotatable by the second motor.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

Abstract: An automated kitchen assistant system inspects a food preparation area in the kitchen environment using a novel sensor combination. The combination of sensors includes an Infrared (IR) camera that generates IR image data and at least one secondary sensor that generates secondary image data. The IR image data and secondary image data are processed to obtain combined image data. A trained convolutional neural network is employed to automatically compute an output based on the combined image data. The output includes information about the identity and the location of the food item. The output may further be utilized to command a robotic arm, kitchen worker, or otherwise assist in food preparation. Related methods are also described.

Abstract: Examples of a device for guiding and detecting a motion of a target joints and a motion assistance system such motion guiding devices are described. The motion guiding and detecting device comprises a motion generator and a motion transfer and target interfacing unit to transfer the motion generated by the motion generator to the target joint. The system further includes a motion detection and feedback unit that interfaces with the target, and a controller that interfaces with both the feedback unit and the motion generator to control and coordinate the motion of the motion generator and the target joint.

Abstract: One variation of a method for autonomously scanning and processing a part includes: collecting a set of images depicting a part positioned within a work zone adjacent a robotic system; assembling the set of images into a part model representing the part. The method includes segmenting areas of the part model—delineated by local radii of curvature, edges, or color boundaries—into target zones for processing by the robotic system and exclusion zones avoided by the robotic system. The method includes: projecting a set of keypoints onto the target zone of part model defining positions, orientations, and target forces of a sanding head applied at locations on the part model; assembling the set of keypoints into a toolpath and projecting the toolpath onto the target zone of the part model; and transmitting the toolpath to a robotic system to execute the toolpath on the part within the work zone.

Abstract: Systems, methods and apparatuses for inspecting a tank containing a flammable fluid are provided. The system includes a vehicle having a propeller, a latch mechanism, a pressure switch, and an inspection device. The system includes a control unit in communication with the propeller, the latch mechanism, and the inspection device, and electrically connected to the pressure switch. The control unit powers on responsive to the pressure switch detecting an ambient pressure greater than a minimum threshold. The control unit receives, from the latch mechanism, an indication of a state of the latch mechanism. The control unit determines that the cable used to lower the vehicle into the tank containing the flammable fluid is detached from the vehicle. The control unit commands the propeller to move the vehicle through the flammable fluid. The control unit determines a quality metric of a portion of the tank.

Abstract: The technology is directed to providing pick and place instructions to a robot. Sensor data including an image feed of a picking container in which at least one product is located may be output. An input indicating a selected product including at least one of the products located in the picking container may be received. A representation of the selected product and at least one image of the order container may be output for display. The representation of the product may be scaled relative to the at least one image of the order container. A place input corresponding to the position of the representation of the product at a packing location within the at least one image of the order container may be received and transmitted to a robot control system.

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 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.