Abstract: A robot control device acquires an actual value of a position and a posture of a robot and an actual value of an external force applied to the robot, executes a robot model including a state transition model that, based on the actual value of the position and the posture at a certain time and an action command that can be given to the robot, calculates a predicted value of the position and the posture of the robot, and an external force model that calculates a predicted value of an external force applied to the robot, calculates a reward based on an error of the position and the posture and the predicted value of the external force, generates and gives a plurality of candidates for the action command to the robot model for each control cycle, based on a reward calculated corresponding to each of the plurality of candidates for the action command, determines an action command that maximizes a reward, and updates the external force model so as to reduce a difference between the predicted value of the external f

Abstract: This learning device comprises: a creation unit which creates a state transition model that predicts a next state of a robot on the basis of a measured robot state and a command for the robot, and a collection state transition model including a collection unit that collects the prediction results; a command generation unit which executes, for each control period, processes for inputting the measured robot state, generating candidates of the command for the robot, acquiring a robot state predicted from the robot state and the candidates of the command for the robot by using the collection state transition model 20, and generating and outputting a command for maximizing a reward corresponding to the acquired state; and a learning unit which updates the collection state transition model in order to reduce an error between a next robot state predicted in correspondence with the output command and a robot state measured in correspondence with the next state.

Abstract: A joint structure includes a locking mechanism for switching a free state in which a second element is independent from a first element and capable of moving, and a locked state in which the second element is fixed to the first element. The locking mechanism includes a first member joined to the first element, a second member joined to the second element, and a flexible wire-shaped member in which one end thereof is attached to the second member and another end thereof is led out to the outside of the joint structure via a through hole provided in the first member. The joint structure enters the locked state by the wire-shaped member being pulled to bring the second member into contact with the first member, and enters the free state by the wire-shaped member being fed to separate the second member from the first member.

Abstract: A trajectory generation device includes an acquisition unit, a clustering unit and a generation unit. The acquisition unit acquires successful trajectory information and failed trajectory information that are trajectory information representing sequences of states of a controlled object being taught by a teacher. The successful trajectory information is trajectory information when a task performed by the controlled object is successful, and the failed trajectory information is trajectory information when the task is failed. From the states of the controlled object belonging to the successful trajectory information and the states belonging to the failed trajectory information, the clustering unit generates clusters of successful classes of the states.

Abstract: A control apparatus of a robot may include a state obtaining unit configured to obtain state observation data including flexible related observation data, which is observation data regarding a state of at least one of a flexible portion, a portion of the robot on a side where an object is gripped relative to the flexible portion, and the gripped object; and a controller configured to control the robot so as to output an action to be performed by the robot to perform predetermined work on the object, in response to receiving the state observation data, based on output obtained as a result of inputting the state observation data obtained by the state obtaining unit to a learning model, the learning model being learned in advance through machine learning and included in the controller.

Abstract: A joint structure includes a locking mechanism for switching a free state in which a second element is independent from a first element and capable of moving, and a locked state in which the second element is fixed to the first element. The locking mechanism includes a first member joined to the first element, a second member joined to the second element, and a flexible wire-shaped member in which one end thereof is attached to the second member and another end thereof is led out to the outside of the joint structure via a through hole provided in the first member. The joint structure enters the locked state by the wire-shaped member being pulled to bring the second member into contact with the first member, and enters the free state by the wire-shaped member being fed to separate the second member from the first member.

Abstract: 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.