Abstract: An intelligent robot control method is provided for an intelligent robot. The method includes obtaining a first position at which the intelligent robot is currently located and a target position to be reached, and determining a movement path from the first position to the target position. The movement path has a particular roadblock. The method also includes transmitting a removal request when the intelligent robot moves from the first position to a second position, and a distance between the second position and a third position at which the particular roadblock is located and that is to be reached reaches a target distance. The removal request is used for requesting a removal instruction to be transmitted to the particular roadblock, and the removal instruction is used for, based on a roadblock type of the particular roadblock, instructing to remove the particular roadblock before the intelligent robot arrives.

Abstract: The present application discloses a robotic control system, and a method and a computer system for controlling a robot. The robotic control system includes a memory and one or more processors coupled to the memory. The memory is configured to store configured to store a model of a robot having a plurality of axes of control including at least a linear axis and one or more rotational axes. The one or more processors are configured to use the model to control the robot to perform a task, including by sending to the robot a set of control signals to cause the robot to move with respect to two or more of said axes of control including at least the linear axis.

Abstract: A failure prediction system includes: a processor, the processor being configured to: collect torque values of a drive axis of a robot that is operating in accordance with a given work program; derive an evaluation formula approximating a time change of the torque value which is most recent from among the collected torque values set a failure threshold that is the torque value at which it is determined that failure of the drive axis occurs, based on the evaluation formula and the time change of the torque value when the drive axis reached failure in the past; and calculate an estimated value for the torque value when a prediction time set in advance has elapsed in the evaluation formula, and determines whether failure of the drive axis is predicted within the prediction time according to comparison between the estimated value and the failure threshold.

Abstract: A device for measuring repeated positioning precision of a robotic arm is introduced. Using an optical speckle three-dimensional displacement sensor developed by the inventor, and with collaboration of an optical speckle image three-dimensional positioning base built with an optical speckle coordinate database and having low thermal expansion, an optical speckle three-dimensional absolute positioning space is established. The optical speckle three-dimensional displacement sensor is installed on an end effector of a robotic arm, the robotic arm is moved to have the optical speckle three-dimensional displacement sensor enter an optical speckle three-dimensional absolute positioning space, an optical speckle image of a positioning point is captured and compared with a coordinate optical speckle image in the optical speckle coordinate database, and current three-dimensional absolute positioning coordinates of the end effector of the robotic arm can be obtained.

Abstract: A system and method that automatically resolves conflicts among sensor information in a sensor fusion robot system. Such methods can accommodate converging ambiguous and divergent sensor information in a manner that can allow continued, and relatively accurate, robotic operations. The processes can include handling sensor conflict via sensor prioritization, including, but not limited, prioritization based on the particular stage or segment of the assembly operation when the conflict occurs, overriding sensor data that exceeds a threshold value, and/or prioritization based on evaluations of recent sensor performance, predictions, system configuration, and/or historical information. The processes can include responding to sensor conflicts through comparisons of the accuracy of workpiece location predictions from different sensors during different assembly stages in connection with arriving at a determination of which sensor(s) is providing accurate and reliable predictions.

Abstract: An information processing apparatus includes an acquisition unit acquiring a first image and a second image, the first image being an image of a target area in an initial state, the second image being an image of the target area where a first object conveyed from a supply area is placed, an estimation unit estimating one or more second areas in the target area, based on a feature of a first area estimated using the first image and the second image, the first area being where the first object is placed, the one or more second areas each being an area where an object in the supply area can be placed and being different from the first area. A control unit controls a robot to convey a second object different from the first object from the supply area to any of the one or more second areas.

Abstract: As a preferred embodiment of the present invention, a device for controlling a collaborative robot includes a collision detection unit configured to sense a collision of the collaborative robot; a control unit configured to control an operation mode of the collaborative robot when the collision detection unit senses the collision; and a collision countermeasure unit configured to apply, when the collision detection unit senses the collision, a collision compensation value to each of a plurality of joints in the collaborative robot so as to change a proceeding direction of a force applied to the each of the plurality of joints.

Abstract: This robot controller causes a robot to follow a target, while a transfer device moves the target, by using a detection result obtained by a movement-amount detecting device that detects the amount by which the transfer device moves the target. When the value of any one of the speed, the acceleration, and the jerk of the target calculated based on the detection result obtained by the movement-amount detecting device or the pattern of the speed, the acceleration, and the jerk deviates from the predetermined reference, the robot controller performs predetermined reporting or stops the robot.

Abstract: Various embodiments of a bio-inspired robot operable for detecting crack and corrosion defects in tubular structures are disclosed herein.

Abstract: A robot includes a first arm having a hole and extending along a first axis, a second arm coupled to the first arm, and rotating around a second axis crossing the first axis, a sensor configured to detect a target, and an attachment member provided to the second arm, and configured to support the sensor, wherein the attachment member is inserted through the hole, and extending along the second axis. Further, the sensor may be located outside an outer surface of the first arm.

Abstract: An automatic processing system, a system on chip and a method for monitoring a processing module are described herein. The automatic driving processing system comprises: an automatic driving processing module, configured for receiving an input data stream and processing the input data stream based on a deep learning model so as to generate a processing result; a fault detection module, configured for generating a control signal and a fault detection stimulating data stream, and receiving the processing result from the automatic driving processing module; and a multi-way selection module, configured for receiving an automatic driving data stream as well as the control signal and the fault detection stimulating data stream, and selectively outputting the automatic driving data stream or the fault detection stimulating data stream to the automatic driving processing module based on the control signal, as an input data stream.

Abstract: A robot system includes a slave unit including a slave-side force detector configured to detect a direction and a magnitude of a reaction force acting on a workpiece held by a work end of a slave arm, a master unit including a master-side force detector configured to detect a direction and a magnitude of an operating force applied by an operator to an operation end of a master arm, and a system controller configured to generate a slave operational command and a master operational command based on the operating force and the reaction force. The system controller includes a regulator configured to correct a moving direction of the work end so that the movement of the work end in a pressing direction of an object is regulated when the reaction force exceeds an acceptable value set beforehand.

Abstract: A vehicle safety system within an autonomous or semi-autonomous vehicle may predict and avoid collisions between the vehicle and other moving objects in the environment. The vehicle safety system may determine one or more perturbed trajectories for another object in the environment, for example, by perturbing the state parameters of a perceived trajectory associated with the object. Each perturbed trajectory may be evaluated to determine whether it intersects or potentially collides the planned trajectory of the vehicle. In some examples, the vehicle safety system may aggregate the results of analyses of multiple perturbed trajectories to determine a collision probability and/or additional weights or adjustment factors associated with the collision prediction, and may determine actions for the vehicle to take based on the collision predictions and probabilities.

Abstract: A first robot may include: a communication circuit configured to transmit and receive a signal; a sensor configured to detect a surrounding environment; a driving device configured to implement movement of the first robot; and a processor configured to control the first robot. The processor may determine a second voice recognition range of a second robot on the basis of a confirmation signal transmitted from the second robot. When a user is positioned outside the determined second voice recognition range, the processor may control the driving device so that the first robot follows the user.

Abstract: The collaborative operation support device includes a display device including a display area; and a processor configured to detect, based on an image in which the operator or the robot is represented, a position of a section of the robot in the display area when the operator looks at the robot through the display area, the section associated with an operation mode of the robot specified by means of an input device; select, in accordance with the specified operation mode of the robot, display data corresponding to the specified mode among display data stored in a memory; and display the selected display data in the display area of the display device in such a way that the selected display data is displayed at a position that satisfies a certain positional relationship with the position of the section of the robot in the display area.

Abstract: Disclosed is a control system to control a robot. The control system to control the robot according to an aspect of the present disclosure includes a transceiver and a processor. The transceiver receives information of a user within each unit zone, wherein a plurality of robots is disposed in a zone. The processor is configured to determine a density for each respective unit zone from among the plurality of zones, determine an average density for each respective group zone from among the plurality of group zones based on the determined density, determine a priority for each group zone based on the respective determined average density, and control movements of one or more robots based on the determined priority, wherein the controlling of the movements is performed by extracting a feature from the user based on machine learning and setting the priority based on the extracted feature of the user.

Abstract: An autonomous vehicle and a diagnosis method for the autonomous vehicle are provided. The autonomous vehicle includes a memory that stores a driving record of the vehicle and a processor that establishes a diagnosis plan. The vehicle diagnosis is performed while operating the vehicle autonomously, when a stopping period of the vehicle is greater than or equal to a predetermined reference period, based on the driving record.

Abstract: According to one embodiments, a calibration detecting apparatus includes a generator, a setting unit, an acquisition unit, and a calculator. The generator generates location data indicating a group including a pair of two positions arranged respectively in two spaces. The setting unit sets an irradiation arrangement so that an irradiating device performs laser irradiation on a region including an end position of the end effector. The acquisition unit acquires observation data indicating whether or not the end effector is observed. The calculator calculates a change in an installed state of the irradiating device based on the observation data.

Abstract: An autonomous driving control system is configured to perform autonomous driving of a vehicle. The autonomous driving control system includes: an electric power supply circuit including a plurality of electric power supplies, electric power supply lines respectively belonging to a plurality of systems and a relay device; a fault detector configured to detect a fault state of the relay device; an electric power supply controller configured to control the electric power supply circuit; and an autonomous driving control unit provided to control the autonomous driving of the vehicle. The autonomous driving control unit is configured to perform, upon detection by the fault detector of occurrence of a fault corresponding to a specific fault pattern in the relay device, a restricted autonomous driving control in which part of a control function of the autonomous driving is restricted compared to when no fault corresponding to the specific fault pattern is detected.

Abstract: A method for the mechanical correction of geometric motion errors of a positioning machine having at least two machine frame components and at least one axis movement assembly for the relative movement of the machine frame components, the at least one axis movement assembly comprising a plurality of axis guide components, each axis guide component and each machine frame component having a mounting surface. A mounting surface correction profile is determined for the considered axis, whereas the mounting surface correction profile describes the correction amounts in function of the position for the mechanical correction of the considered axis. The determined mounting surface correction profile is imparted to the mounting surface of the axis guide component or to the mounting surface of the machine frame component of the considered axis by machining.