A robot control method, and associated robot controllers and robots operating with such methods and controllers, providing real-time vibration suppression. The control method involves learning to support real-time, vibration-suppressing control. The method uses state-of-the-art machine learning techniques in conjunction with a differentiable dynamics simulator to yield fast and accurate vibration suppression. Vibration suppression using offline simulation approaches that can be computationally expensive may be used to create training data for the controller, which may be provide by a variety of neural network configurations. In other cases, sensory feedback from sensors onboard the robot being controlled can be used to provide training data to account for wear of the robot's components.

A method and robot controller configured to obtain an inertia-vibration model of the robot arm. The inertia-vibration model defines a relationship between the inertia of the robot arm and the vibrational properties of said robot arm and have been by setting the robot arm in a plurality of different physical configurations and for each of said physical configurations of said robot arm obtaining the vibrational properties and the inertia the robot arm. The inertia-vibration model makes it possible to in a simple and efficient way to obtain the vibrational properties of different physical configurations of the robot arm whereby the robot arm can be controlled according to the vibrational properties of the robot arm. This makes it possible to reduce the vibrations of the robot arm during movement of the robot arm.

A robot control device includes the following: a main control unit; a servo control unit, which receives a position command θc from the main control unit; and a bending correction block (24), which corrects the bending of the reduction gear connected to the servo motor. The bending correction block (24) includes the following: a first position-correction-value calculation means (63), which finds a first position-command correction value θsgc based on the position command θc; and a second position-command-correction-value calculation means (64), which finds a second position-command correction value θskc based on the interference torque τa. The servo control unit drives the servo motor based on a new position command obtained by adding the first position-command correction value θsgc and the second position-command correction value θskc to the position command θc.

A method for determining placement of support-platform joints (8a, 9a, 10a, 11a, 12a, 13a) on a support-platform (17) of a parallel kinematic manipulator, PKM. The PKM comprises: the support-platform (17), a first support linkage (SL1), a second support linkage (SL2) and a third support linkage (SL3). The first support linkage (SL1), the second support linkage (SL2) and the third support linkage (SL3) together comprises at least five support-links (8, 9, 10, 11, 12, 13). The method comprises estimating (S1) parameters indicative of stiffness for the PKM, based on a kinematic model and an elastic model of the PKM and chosen defined forces and/or torques applied to a tool (22) during a processing sequence, and checking (S2) whether the estimated parameters indicative of stiffness of the PKM fulfill one or more stiffness criteria. Upon the estimated parameters indicative of stiffness fulfilling one or more stiffness criteria, the method comprises choosing (S3) the current placement configuration as an optimal placement configuration of the support-platform joints. The disclosure also relates to a system comprising a computer configured to perform the method and to output an optimal placement configuration, and a PKM with support-platform joints that are placed to the support-platform according to the optimal placement configuration outputted by the computer. The disclosure also relates to PKMs with support-platform joints that are placed to the support-platform to achieve high stiffness.

A control apparatus of a robot that includes a flexible portion and a locking mechanism for fixing the flexible portion, the control apparatus including: a lock control unit configured to control locking and unlocking of the flexible portion; and an operation control unit configured to control operation of the robot using different types of control policies depending on whether the flexible portion is locked or unlocked. With this control apparatus, it is possible to effectively control a robot in which locking and unlocking of the flexible portion can be switched.

A control system of a power unit in accordance with the present invention corrects a basic command value of an electric motor 2, which has been determined such that the detection value of a driving force to be applied to a rotary member 5 is converged to a desired value, according to a manipulated variable determined by an observer 16. The electric motor 2 is controlled according to a desired control value after the correction. The observer 16 determines the manipulated variable such that the driving force based on the desired control value is brought close to the resultant force of a force indicated by the rotary member 5 and an inertial force.

The invention relates to a method of control ling an actuator (1) of an articulated segment (5) comprising the steps of estimating an inertia J of the segment; estimating or measuring a speed of displacement (I) of the segment; synthesizing a control law of type (II) generating a control torque for the segment on the basis of these estimates or measurements and meeting a performance objective pertaining to the loading sensitivity function: (III) K being the desired stiffness, and c a desired damping rate, a a mathematical artifact, (IV), where G(s) is the transfer function (V) for going between the speed (I) (linear or angular) of the segment and an external force F experienced by the segment; and controlling the actuator of the articulated segment according to the control law thus synthesized.

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A method of controlling a robot arm with robot joints, where the joint motors of the joints are controlled based on a signal generated based on the friction torque (formula I) of at least one of the input/outside of the robot joint transmission and the robot joint transmission torque (formula II) between the input side and the output side of the transmission. The friction torque is determined based on: at least two of the angular position of the motor axle; the angular position of the output axle and/or the motor torque provided to the motor axle by the joint motor. The robot joint transmission torque is determined based on: at least one of the angular position of the output axle; the angular position of the output axle and/or the angular position of the motor axle; the angular position of the motor axle and the motor torque provided to the motor axle by the joint motor.

A method and system for determining geometric properties of a manipulator (2). The manipulator (2) is controlled to perform constrained motions exhibiting force interaction with the environment, or between different links of the manipulator (2), such that a kinematic chain is formed mechanically. The chain may include peripherals and external axes of motion. A constraining device, enables motions that facilitate the determination of geometric properties. A unified model of joint and link compliances facilitates determination of stiffness parameters. The force interaction is controlled with awareness of friction such that non-geometric properties are possible to identify, thereby enabling separation of non-geometric effects from the geometric ones, which improves accuracy.

Systems and a method for teaching a robot in reaching a given target location. The system and method include receiving inputs on a representation of a given target location to be reached by the robot. A check is made whether the given target location is singular. If the given target location is non-singular, the teaching of the robot is effected by associating with the given target location a selected configuration. If the given target is singular, the teaching of the robot is effected by associating with the given target location an assigned joint-values solution.