A robot for object manipulation may include sensors, a robot appendage, actuators configured to drive joints of the robot appendage, a planner, and a controller. Object path planning may include determining poses. Object trajectory optimization may include assigning a set of timestamps to the poses, optimizing a cost function which may be a cost function for finger sliding based on a penalty for a sliding distance, a change in desired normal direction, and a wrench error associated with sliding a robot finger, and generating an object trajectory based on the optimized cost function. Grasp sequence planning may be model-based or deep reinforcement learning (DRL) policy based. The controller may execute the object trajectory and the grasp sequence via the robot appendage and actuators.

A robot for object manipulation may include sensors, a robot appendage, actuators configured to drive joints of the robot appendage, a planner, and a controller. Object path planning may include determining poses. Object trajectory optimization may include assigning a set of timestamps to the poses, optimizing a cost function based on an inverse kinematic (IK) error, a difference between an estimated required wrench and an actual wrench, and a grasp efficiency, and generating a reference object trajectory based on the optimized cost function. Grasp sequence planning may be model-based or deep reinforcement learning (DRL) policy based. The controller may implement the reference object trajectory and the grasp sequence via the robot appendage and actuators.

There is provided a robot hand that grips and positions a work with a certain gripping force, and that rapidly conveys the work to execute assembling after gripping the work.

Provided is a robot device including an image input unit for inputting an image of surroundings, a target object detection unit for detecting an object from the input image, an object position detection unit for detecting a position of the object, an environment information acquisition unit for acquiring surrounding environment information of the position of the object, an optimum posture acquisition unit for acquiring an optimum posture corresponding to the surrounding environment information for the object, an object posture detection unit for detecting a current posture of the object from the input image, an object posture comparison unit for comparing the current posture of the object to the optimum posture of the object, and an object posture correction unit for correcting the posture of the object when the object posture comparison unit determines that there is a predetermined difference or more between the current posture and the optimum posture.

A robot hand includes a motor, claws configured to grip a workpiece in accordance with rotation of the motor, an encoder configured to detect a rotational position of the motor, and a control device configured to control a torque of the motor such that the claws grip the workpiece in accordance with the rotational position.

A method of adjusting a posture of a 6-axis robot standing in a direction perpendicular or substantially perpendicular to a robot mounting surface includes specifying axis central positions of three axes located at different heights in the direction perpendicular or substantially perpendicular to the robot mounting surface of the 6-axis robot, specifying two planes including two arcs of which rotation centers are represented by two axes farther away from the robot mounting surface among the three axes, specifying a position of a predetermined point on the arc farther away from the robot mounting surface among the two arcs, and determining an angle adjustment amount of the three axes in a rotation direction and an angle adjustment amount of an axis extending between the two axes in a rotation direction based on the specified axis central positions of the three axes, the specified two planes, and the specified position of the predetermined point.

A workpiece transport robot configured to determine whether a workpiece gripping failure has occurred, the workpiece transport robot including a transport robot main body having a driving mechanism configured to move a held workpiece; a robot hand having a first chuck and a second chuck configured to grip workpieces on both front and back faces of the robot hand; a robot hand rotating mechanism configured to axially support the robot hand and position the robot hand in a rotational direction with a servomotor, the robot hand supported with the transport robot main body via a rotation shaft to which first chuck and second chuck are symmetrically positioned, and a control device configured to compare measurement state information of the robot hand, of which information being based on torque information obtained by measuring and driving the servomotor; with workpiece gripping information obtained from a work program of the robot hand.

An inspection method for a pillar-shaped honeycomb structure including a step A of generating strip-shaped images by repeatedly capturing the side surface part by part with an area camera while relatively moving the area camera with respect to the pillar-shaped honeycomb structure; and a step B of determining presence or absence of defects on the side surface based on the strip-shaped images obtained in the step A; wherein a number of the strip-shaped images generated in the step A is sufficient to cover the entire side surface; a shutter speed when the area camera captures a part of the side surface for generating a single strip-shaped image is 10 to 1000 μsec; and each of the strip-shaped images has a length covering the entire height of the pillar-shaped honeycomb structure in a longitudinal direction, and a length of 1 to 10 mm in a width direction.

A workpiece transport robot configured to determine whether a workpiece gripping failure has occurred, the workpiece transport robot including a transport robot main body having a driving mechanism configured to move a held workpiece; a robot hand having a first chuck and a second chuck configured to grip workpieces on both front and back faces of the robot hand; a robot hand rotating mechanism configured to axially support the robot hand and position the robot hand in a rotational direction with a servomotor, the robot hand supported with the transport robot main body via a rotation shaft to which first chuck and second chuck are symmetrically positioned, and a control device configured to compare measurement state information of the robot hand, of which information being based on torque information obtained by measuring and driving the servomotor; with workpiece gripping information obtained from a work program of the robot hand.

A method of controlling a holding apparatus configured to hold plural kinds of target objects by plural fingers in plural relative postures includes calculating, on a basis of information about holding force of the fingers in a relative posture for a target object, an amount of positional deviation of the target object held by the fingers, and correcting, on a basis of the amount of positional deviation calculated in the calculating, a position of the target object held by the fingers.