A picking apparatus in an embodiment includes: a gripper, an arm, a detector, and a control unit. The gripper picks and grips an object to be conveyed. The arm moves the gripper and causes the gripper to convey the object to be conveyed. The detector is attached to the arm and senses a force applied to the gripper. The control unit controls an operation of the gripper and the arm. The control unit includes a calculator and a subtractor. The calculator calculates a gravitational force and an inertial force applied to the gripper when the gripper grips and moves the object to be conveyed using an arithmetic expression including a coefficient determined in accordance with a mass of the object to be conveyed. The subtractor subtracts the gravitational force and the inertial force calculated by the calculator from a force applied to the gripper sensed by the detector.

An example method may include i) detecting a disturbance to a gait of a robot, where the gait includes a swing state and a step down state, the swing state including a target swing trajectory for a foot of the robot, and where the target swing trajectory includes a beginning and an end; and ii) based on the detected disturbance, causing the foot of the robot to enter the step down state before the foot reaches the end of the target swing trajectory.

A teaching apparatus includes a chamber; an electrostatic chuck in the chamber, the electrostatic chuck including a sidewall surrounding a loading area; an aligner configured to be loaded onto the loading area of the electrostatic chuck; a vision sensor configured to obtain measurement data by measuring separation distances of separation regions between the aligner and the sidewall of the electrostatic chuck and to transmit the measurement data; a transfer robot configured to load the aligner onto a reference position of the loading area and to position the vision sensor above the electrostatic chuck; and controller configured to reset the reference position and to equalize the separation distances based on the measurement data transmitted from the vision sensor.

Disclosed is a robot cleaner which adjusts a suction area of air suctioned into a suction port through a shutter and a shutter driving device configured to operate the shutter, so that a flow rate of air is adjusted, thus more effectively suctioning dust in the air by using a fan motor having a fixed capacity.

A method, apparatus, and system for manufacturing a composite part. A set of reference locations is identified for a set of fiducial markers on a composite ply from a ply shape model for the composite part. The set of fiducial markers is created at the set of reference locations on the composite ply. The composite ply is cut to have a shape defined by the ply shape model.

A method includes receiving a model of the material dispenser and, at a first characterization period of a material bead dispensing operation, communicating, to the material dispenser, a first characterization flow rate input. The method also includes, at a second characterization period of the material bead dispensing operation, communicating, to the material dispenser, a second characterization flow rate input. The method also includes generating, using at least one sensor, three-dimensional data associated with a material bead corresponding to the material bead dispensing operation. The method also includes characterizing at least one parameter of the model of the material dispenser using at least the first characterization flow rate input, the second characterization flow rate input, and the three-dimensional data associated with the material bead.

A method and system for autonomous picking or put-away of items, totes, or cases within a logistics facility. The system includes a remote server and at least one manipulation robot. The system may further include at least one transport robot. The remote server is configured to communicate with the various robots to send and receive picking data, and the various robots are configured to autonomously navigate and position themselves within the logistics facility.

There is provided a data processing device, a data processing method, and a cooking robot that allow for object sensing with use of an appropriate algorithm. The data processing device according to one aspect of the present technology adaptively selects, in accordance with an object sensing condition, and executes an object sensing program in which an object sensing algorithm for sensing an object on the basis of sensor data output from a sensor mounted on a robot is defined. The present technology can be applied to sensor devices mounted on various devices.

One or more embodiments of the present disclosure relate generally to the field of robotic grasping systems, and in particular to an active robotic manipulator that includes a passive grasping component so that the robotic manipulator can grasp a wide variety of objects and simultaneously provide soft grasping features which reduce the risk of damage to objects.

A robotic object handling system comprises a robot arm, a non-contact sensor, a first station, and a computing device. The computing device is to cause the robot arm to pick up an object on an end effector, cause the robot arm to position the object within a detection area of the non-contact sensor, cause the non-contact sensor to generate sensor data of the object, determine at least one of a rotational error of the object relative to a target orientation or a positional error of the object relative to a target position based on the sensor data, cause an adjustment to the robot arm to approximately remove at least one of the rotational error or the positional error from the object, and cause the robot arm to place the object at the first station, wherein the placed object lacks at least one of the rotational error or the positional error.