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.

A system including a robot mean to move a member by using a first camera coupled to the robot, a second camera coupled to the robot, a control device configured to control position of the robot in order to minimize a pixel-wise distance between the member and a target based on alternating input from the first camera and the second camera.

A computing system may direct a first robotic arm to a first position based on a first set of coordinates. The computing system may cause the first robotic arm to engage with a first structure based on the first position of the first robotic arm. Further, the computing system may direct the first robotic arm to a second position based on a second set of coordinates such that the first structure is brought within a joining proximity of a second structure without a fixture retaining the first structure and without a fixture retaining the second structure, wherein the first structure is configured to be joined with the second structure when the first and second structures are within the joining proximity, the joining proximity being a proximity at which the first and second structures can be joined together.

Systems and methods for controlling robots including industrial robots. A method includes executing (402) a program (550) to control a robot (102) by the robot control system (120, 500). The method includes receiving (404) robot state information (554). The method includes receiving (406) force torque feedback (556) inputs from a sensor (554) on the robot (102). The method includes producing (410) a robot control command for the robot (102) based on the robot state information (554) and the force torque feedback (556) inputs. The method includes controlling (412) the robot (102) using the robot control command.

A robotic kitting machine is disclosed. In various embodiments, a robotic arm is used to move an item to a location in proximity to a slot into which the item is to be inserted. Force information generated by a force sensor is received via a communication interface. The force sensor information is used to align a structure comprising the item with a corresponding cavity comprising the slot, and the item is inserted into the slot.

A method, system and computer program product are provided for aligning wire contacts with wire contact insertion holes of a connector to facilitate the automated insertion of the wire ends of a wire bundle assembly into the wire contact insertion holes of a connector. Methods may include: obtaining captured images from at least two image capture devices attached to an end-effector of a robot of a wire gripper of the end-effector; detecting, within at least one image from each of the at least two image capture devices, a wire contact; detecting, within at least one image from each of the at least two image capture devices, one or more insertion holes of the connector; identifying corrective movement for the robot end-effector that aligns a target hole of the one or more insertion holes of the connector with the wire connector; and causing the robot to move the end-effector according to the identified corrective movement.

A robot controller that moves a first workpiece mounted on a robot with respect to a second workpiece, the robot having a sensor for detecting one of magnitude of force acting on the first workpiece and magnitude of torque acting on the robot, the robot controller including a calculation unit configured to calculate a force between the first workpiece and the second workpiece and a moment on the first workpiece, based on the magnitude of the force or the torque, a controller carrying out force control so that the calculated force and the moment correspond to a predetermined force and moment, and a display displaying at least one of a velocity of the first workpiece and an angular velocity, the velocity and the angular velocity occurring as a result of control by the controller, the velocity and the angular velocity being overlapped on an image of the robot.

A controller of the robot apparatus performs approaching control for making a second workpiece approach a first workpiece and position adjustment control for adjusting a position of the second workpiece with respect to a position of the first workpiece. The approaching control includes control for calculating a movement direction and a movement amount of a position of the robot based on an image captured by a first camera, and making the second workpiece approach the first workpiece. The position adjustment control includes control for calculating a movement direction and a movement amount of a position of the robot based on an image captured by the first camera and an image captured by the second camera, and precisely adjusting a position of the first workpiece with respect to the second workpiece.

A computer-implemented method executed by a robotic system for performing a positional search process in an assembly task is presented. The method includes applying forces to a first component to be inserted into a second component, detecting the forces applied to the first component by employing a plurality of force sensors attached to a robotic arm of the robotic system, extracting training samples corresponding to the forces applied to the first component, normalizing time-series data for each of the training samples by applying a variable transformation about a right tilt direction, creating a time-series prediction model of transformed training data, applying the variable transformation with different directions for a test sample, and calculating a matching ratio between the created time-series prediction model and the transformed test sample.

A robot control system includes a relative relationship calculating section configured to calculate a relative relationship between a first member and a second member at least at one of a plurality of points based on data acquired by a vision sensor, a contact point determination section configured to determine a contact point between the first member and the second member based on the calculated relative relationship, a control point setting section configured to set a control point based on the determined contact point, and a fitting control section configured to control fitting of the plurality of points based on the set control point.