Abstract: An automated vehicle comprising: a control unit configured to control movement of the automated vehicle to a location adjacent an estimated location of a drill hole; a scanning portion including one or more scanning devices configured to scan an area of terrain in the vicinity of the estimated location of the drill hole in order to determine an actual location of the drill hole, and to generate a point cloud representing at least a portion of the interior of the drill hole; at least one arm associated with the scanning portion, the at least one arm configured to move the scanning portion between a home position and one or more scanning positions; and an end effector associated with the at least one arm, the end effector being configured to perform one or more operations; wherein, upon generating the point cloud, the at least one arm is configured, based on the point cloud, to position the end effector in substantial alignment with the drill hole so that the end effector can perform the one or more operati

Abstract: A computer-implemented method of selecting a power-optimal compression scheme for transmitting digital control signals from a classical interface of a quantum computer to a quantum processing unit (QPU) of the quantum computer is disclosed. The method involves receiving static and dynamic power consumption values associated with operations performable by the QPU; determining compression schemes implementable by the QPU; calculating total power consumption values associated with receiving and decompressing a representative control signal at the QPU using the compression schemes; and selecting the compression scheme having the lowest total power consumption value. A corresponding method for transmitting control signals from a classical interface of the quantum computer to the QPU is also disclosed in which a compressed control signal is transmitted from the classical interface to the QPU with one or more delays.

Abstract: Provided are an apparatus and method for grasp generation, involving obtaining image data, comprising depth data, representative of an image of an object captured by a camera, and providing the image data to a grasping model comprising a neural network trained to predict a plurality of outcomes associated with a grasping operation independently based on images of graspable objects. A plurality of pixelwise predictions corresponding to the plurality of outcomes are obtained, each pixelwise prediction being a representation of pixelwise probability values corresponding to a given outcome of the plurality of outcomes associated with the grasping operation. The plurality of pixelwise predictions are aggregated to obtain an aggregated pixelwise prediction which is output for selection therefrom of one or more pixels on which to base generation of one or more grasp poses to grasp the object.

Abstract: A pump system may include a drive shaft extending along a longitudinal axis and supplying rotation about the longitudinal axis, a gear system operably coupled to the shaft for changing the orientation of the rotation, and a slider-crank mechanism. The slider crank mechanism may include a rotating member assembly mechanically coupled to and driven by the gear system. The rotating member assembly may include a plurality of rotating members having respective rotational axes offset laterally from one another and generally orthogonal to the longitudinal axis. The slider crank mechanism may also include a sliding member assembly mechanically coupled to the rotating member assembly. The rotating member assembly may be configured to drive reciprocating motion of the sliding member to alternately draw fluid in and discharge fluid. The slider crank mechanism may also include a connecting rod assembly mechanically coupling the rotating member assembly to the sliding member assembly.

Abstract: The present disclosure generally relates to a robotic control system and method that utilizes active perception to gather the relevant information related to a robot, a robotic environment, and objects within the environment, and allows the robot to focus computational resources where needed, such as for manipulating an object. The present disclosure also enables viewing and analyzing objects from different distances and viewpoints, providing a rich visual experience from which the robot can learn abstract representations of the environment. Inspired by the primate visual-motor system, the present disclosure leverages the benefits of active perception to accomplish manipulation tasks using human-like hand-eye coordination.

Abstract: The present disclosure generally relates to the control of robotic end-effectors in order to manipulate objects. An exemplary method includes updating a classifier based on sensor data obtained at a first time and applying the updated classifier to second sensor data obtained at a second time, to assess status of a robotic end-effector with respect to one or more objects. The method further includes determining a robotic action based on the status assessed and causing a robotic device including the robotic end-effector to perform the robotic action.

Abstract: Robotic systems, methods of operation of robotic systems, and storage media including processor-executable instructions are disclosed herein. The system may include a robot, at least one processor in communication with the robot, and an operator interface in communication with the robot and the at least one processor. The method may include executing a first set of autonomous robot control instructions which causes a robot to autonomously perform the at least one task in an autonomous mode, and generating a second set of autonomous robot control instructions from the first set of autonomous robot control instructions and a first set of environmental sensor data received from a senor. Execution of the second set of autonomous robot control instructions causes the robot to autonomously perform the at least one task. The method may include producing at least one signal that represents the second set of autonomous robot control instructions.

Abstract: Antler animal chew and methods of manufacturing and packaging the same are herein disclosed. The animal chew generally includes an antler section having a marrow core and a lipid composition infused within the marrow core.

Abstract: Systems, devices, articles, and methods, described in greater detail herein, including robotic systems which include at least one rangefinder, at least one manipulator, and at least one processor in communication with the at least one rangefinder, and methods of operation of the same. The at least one processor obtains rangefinder pose information which represents, at least, the at least one manipulator in a plurality of poses. The at least one processor obtains manipulator pose information, optimizes a model of mismatch between the rangefinder pose information and the manipulator pose information, wherein the model of mismatch includes a plurality of parameters, and updates at least one processor readable storage device with the plurality of parameters based at least in part on the optimization.

Abstract: A magnetic sensor may include a comparator to receive a first signal indicating a strength of a magnetic field sensed by a first sensing component of the magnetic sensor, receive a second signal indicating a strength of a magnetic field sensed by a second sensing component of the magnetic sensor, perform an error check associated with the first sensing component and the second sensing component, the error check being performed based on the first signal and the second signal, and provide an indication of a result of the error check. The magnetic sensor may include a protocol encoder to receive the first signal, receive the indication of the result of the error check, and provide an output that includes the indication of the result of the error check.

Abstract: A magnetic sensor may include a comparator to receive a first signal indicating a strength of a magnetic field sensed by a first sensing component of the magnetic sensor, receive a second signal indicating a strength of a magnetic field sensed by a second sensing component of the magnetic sensor, perform an error check associated with the first sensing component and the second sensing component, the error check being performed based on the first signal and the second signal, and provide an indication of a result of the error check. The magnetic sensor may include a protocol encoder to receive the first signal, receive the indication of the result of the error check, and provide an output that includes the indication of the result of the error check.

Abstract: Robotic systems, methods of operation of robotic systems, and storage media including processor-executable instructions are disclosed herein. The system may include a robot, at least one processor in communication with the robot, and an operator interface in communication with the robot and the at least one processor. The method may include executing a first set of autonomous robot control instructions which causes a robot to autonomously perform the at least one task in an autonomous mode, and generating a second set of autonomous robot control instructions from the first set of autonomous robot control instructions and a first set of environmental sensor data received from a senor. Execution of the second set of autonomous robot control instructions causes the robot to autonomously perform the at least one task. The method may include producing at least one signal that represents the second set of autonomous robot control instructions.

Abstract: A system for singulating objects includes a bin for receiving a collection of objects, a robotic manipulator for grasping objects from the bin, a scale for measuring a weight of the grasped objects, and a computer system for comparing measured weights to acceptable weight ranges to detect double picks. Methods include determining acceptable weight ranges by weighing a plurality of objects.

Abstract: A system for singulating objects includes a bin for receiving a collection of objects, a robotic manipulator for grasping objects from the bin, a scale for measuring a weight of the grasped objects, and a computer system for comparing measured weights to acceptable weight ranges to detect double picks. Methods include determining acceptable weight ranges by weighing a plurality of objects.

Abstract: Robotic systems, methods of operation of robotic systems, and storage media including processor-executable instructions are disclosed herein. The system may include a robot, at least one processor in communication with the robot, and an operator interface in communication with the robot and the at least one processor. The method may include executing a first set of autonomous robot control instructions which causes a robot to autonomously perform the at least one task in an autonomous mode, and generating a second set of autonomous robot control instructions from the first set of autonomous robot control instructions and a first set of environmental sensor data received from a sensor. Execution of the second set of autonomous robot control instructions causes the robot to autonomously perform the at least one task. The method may include producing at least one signal that represents the second set of autonomous robot control instructions.

Abstract: Antler animal chew and methods of manufacturing and packaging the same are herein disclosed. The animal chew generally includes an antler section having a marrow core and a lipid composition infused within the marrow core.

Abstract: Robots and robotic systems and methods can employ artificial neural networks (ANNs) to significantly improve performance. The ANNs can operate alternatingly in forward and backward directions in interleaved fashion. The ANNs can employ visible units and hidden units. Various objective functions can be optimized. Robots and robotic systems and methods can execute applications including a plurality of agents in a distributed system, for instance with a number of hosts executing respective agents, at least some of the agents in communications with one another. The hosts can execute agents in response to occurrence of defined events or trigger expressions, and can operate with a maximum latency guarantee and/or data quality guarantee.

Abstract: Robots and robotic systems and methods can employ artificial neural networks (ANNs) to significantly improve performance. The ANNs can operate alternatingly in forward and backward directions in interleaved fashion. The ANNs can employ visible units and hidden units. Various objective functions can be optimized. Robots and robotic systems and methods can execute applications including a plurality of agents in a distributed system, for instance with a number of hosts executing respective agents, at least some of the agents in communications with one another. The hosts can execute agents in response to occurrence of defined events or trigger expressions, and can operate with a maximum latency guarantee and/or data quality guarantee.

Abstract: A system and method for PEMF tissue engineering enhances musculoskeletal tissue stimulation by monitoring treatment for compliance with treatment regimens. A PEMF device includes sensors that detect attributes indicating whether the PEMF device is in use. The PEMF device also includes communication devices that connect it with other devices. The data obtained from the sensors may be used to determine a level of compliance in use of the tissue engineering device with a prescribed treatment regimen for the patient. The data is transferred via a paired UE to a remote server. The remote server stores the data in a database and periodically generates compliance reports. The compliance reports are shared with subscribing access devices including the prescribing physician. The UE pairing with the PEMF device maintains a treatment calendar and dynamically modifies reminders based on current treatment status. The treatment regimen may be updated and sent to the PEMF device.

Abstract: A dynamic representation of a robot in an environment is produced, one or more observer agent collects data, and respective values of one or more metrics for the robot are computed based at least in part on the collected data. Tasks for the robot to perform are generated. Ratings and challenge questions are generated. A server may produce a user interface and a value of a metric based on collected observer data.