Abstract: An article transfer facility (100) includes a transfer device (3) that performs a first operation to take out an article (W) that are supported by a first container (C1), from the first container (C1), and a second operation to load the article (W) taken out from the first container (C1), onto a second container (C2); and an inclination device (5) that supports the second container (C2) at a predetermined position (P2), wherein the second container (C2) has a rectangular mounting surface (S) onto which the articles (W) are to be mounted, and is formed in a box shape with an open upper surface, and the inclination device (5) supports the second container (C2) in an inclined state such that a target corner portion (Sct) that is one of a plurality of corner portions (Sc) of the mounting surface (S) is located lower than the other corner portions (Sc).

Abstract: A continuum robot control device, configured to control operations of a continuum robot having a bendable portion that is bent by driving at least part of a plurality of wires, includes a kinematics computing unit that computes a driving amount lk1b of the at least part of the plurality of wires, based on a target bending angle that is a target value for a bending angle of the bendable portion, a compensation amount computing unit that computes a compensation amount for compensation of the driving amount lk1b, based on the target bending angle, and a displacement of one of the plurality of wires at the target bending angle, and an adding unit and position control unit that set a driving control amount of performing driving control of the at least part of the plurality of wires, based on the driving amount and the compensation amount obtained by computation.

Abstract: Methods for managing a robot arm are disclosed. In one method, during a movement of the robot arm in an axis thereof, a signal collected by a sensor equipped at a frame of the robot arm is received. A change in strength of the received signal is detected, where the change is caused by an offset between a position of a reference mark equipped at the robot arm and a position of the sensor. An original point of the axis of the robot arm is determined based on the detected change. Further, robot systems, apparatuses, systems, and computer readable media for managing a robot arm in the robot systems are disclosed. The original point of the axis of the robot arm may be determined without a dedicated calibrating tool, and then the robot arm may be calibrated based on the original point accurately.

Abstract: Disclosed is a variable-parameter stiffness identification and modeling method for an industrial robot. An effective working space of a robot is divided into a plurality of cubic regions. For an operating task in a certain machining region, different loads are applied to an end effector at multiple positions and multiple postures in the region, and robot joint stiffness in this section is identified and acquired according to the relationship between the loads and an end deformation, thereby realizing accurate stiffness control of the robot in different operating sections during a machining process.

Abstract: The present invention relates to a computer-implemented method. The method includes steps of causing a visual programming panel including a timeline editor and a variety of action blocks configured to enable a variety of basic actions correspondingly for a target robot to perform to be displayed in a visualization interface provided by a robot simulator shown on a web browser; at the visual programming panel, operating by a user to group at least two action blocks representing at least two basic actions selected from the variety of basic actions to form an action collection; and generating a program capable of commanding an end effector equipped on the target robot in a work cell to perform according to the action collection in the robot simulator.

Abstract: A method for controlling a robotic device, in which a composite robot trajectory model made up of robot trajectory models of the movement skills is generated for a sequence plan for a task to be carried out by the robot including a sequence of movement skills and primitive actions to be carried out, and the robot is controlled, if after one movement skill according to the sequence plan one or multiple primitive action(s) is/are to be executed before the next movement skill, by interrupting the control of the robot according to the composite robot trajectory model after carrying out the movement skill, and by executing the one or multiple primitive action(s) and then resuming the control of the robot according to the composite robot trajectory model.

Abstract: The disclosed embodiments relate to systems and methods for a surgical tool or a surgical robotic system. One example system for detecting disengagement of a surgical tool, includes an end effector connected to and driven by cables of a tool driver, sensors configured to detect forces associated with the cables, and one or more processors. The one or more processors identify cable tensions derived from forces detected by the sensors, compare the tension to a threshold tension value, calculate a velocity norm value based on a vector including the velocity value for each of the cables, compare the velocity norm value to a statistic velocity threshold, and identify a disengagement of at least one of the plurality of cables based on the first comparison and the second comparison.

Abstract: Devices, systems, and methods for autonomously separating a mass of clean laundry into single articles for folding and/or packing include autonomous separating device. The device includes a platform including a plurality of sequential work volumes and a stationary floor extending between an inlet end and an outlet end of the platform, a plurality of arms disposed in series along the platform for rotating, tilting, extending, and retracting a terminal gripper of each arm into an associated work volume for grabbing at least one of a plurality of laundry articles and passing the at least one laundry article to an adjacent work volume for grasping and hoisting by an adjacent arm. The device includes a bin, platform, conveyor and/or repositioning robot adjacent the outlet end for receiving each single article one at a time as each separate article passes beyond the outlet end.

Abstract: A method for optimizing a predefined policy for a robot, the policy being a Gaussian mixture model. The method begins with an initialization of a Gaussian process, the Gaussian process including at least one kernel k which, as an input parameter, obtains a distance that is ascertained between probability distributions, which are characterized in each case by the Gaussian mixture model and the Gaussian process, according to the probability product kernel. This is followed by an optimization of the Gaussian process in such a way that it predicts the costs as a function of the parameters of the Gaussian mixture model. This is followed by an ascertainment of optimal parameters of the Gaussian mixture model as a function of the Gaussian process, the parameters being selected, as a function of the Gaussian process, in such a way that the Gaussian process outputs the optimal cost function.

Abstract: A train control system includes: an image information conversion device that is mounted on a train and outputs first image information obtained by adding train information to image information imaged by an imaging device capable of capturing an area in front of the train; and an obstacle detection device that is installed on the ground and includes: an image information storage unit that records the first image information output from the image information conversion device; an image information comparison unit that compares the first image information with second image information recorded in the image information storage unit; and an image information result output unit that outputs a result from the image information comparison unit.

Abstract: A system includes a vehicle and a vehicle control system configured to autonomously control one or more operations of the vehicle. The system also includes a navigation receiver configured to identify a location of the vehicle and to provide the identified location to the vehicle control system. To identify the location of the vehicle, the navigation receiver is configured to identify whether navigation signals received by the navigation receiver are spoofed based on angles of arrival for the navigation signals and to suppress any of the navigation signals determined to be spoofed. The navigation receiver may be configured to suppress any of the navigation signals determined to be spoofed in order to prevent an illicit actor from misdirecting the vehicle to an undesired location and/or to prevent an illicit actor from causing the vehicle to make course corrections based on an incorrect current location of the vehicle.

Abstract: A method and computing system for performing the method are presented. The method may include receiving image information representing an object; identifying a set of one or more matching object recognition templates associated with a set of one or more detection hypotheses. The method may further include selecting a primary detection hypothesis associated with a matching object recognition template; generating a primary candidate region based on the matching object recognition template; determining at least one of: (i) whether the set of one or more matching object recognition templates has a subset of one or more remaining matching templates, or (ii) whether the image information has a portion representing an unmatched region; and generating a safety volume list based on at least one of: (i) the unmatched region, or (ii) one or more additional candidate regions that are generated based on the subset of one or more remaining matching templates.