A device for positioning a processing tool: a processing tool for processing the to-be-processed workpiece's surface while pressing the surface to be processed; a movement mechanism able to displace processing tool's distal end in a first direction orthogonal to the surface to be processed and/or a second direction parallel with the surface to be processed; a force sensor able to detect a force in the first and second direction applied to the processing tool's distal end pressed onto the surface to be processed; and a control device for executing a correction step for controlling the movement mechanism so the surface to be processed is pressed while the distal end's position of the processing tool is aligned with a processing reference position on the surface to be processed, and correcting the processing tool's position so that the force in the second direction is within a specific value or less.

An attachment apparatus according to an embodiment of the present technology includes a hand portion and a control unit. The hand portion includes a restriction portion that restricts a movement of a flat cable in a width direction and a holding portion that holds at least one of both surfaces of the flat cable. The control unit causes the flat cable to be held by a first holding force while restricting the movement in the width direction at a first position on the flat cable, causes the hand portion to move to a second position on the flat cable while maintaining the first holding force, and causes the flat cable to be held at the second position by a second holding force to attach the flat cable.

Disclosed are various embodiments of a three-dimensional perception and object manipulation robot gripper configured for connection to and operation in conjunction with a robot arm. In some embodiments, the gripper comprises a palm, a plurality of motors or actuators operably connected to the palm, a mechanical manipulation system operably connected to the palm, a plurality of fingers operably connected to the motors or actuators and configured to manipulate one or more objects located within a workspace or target volume that can be accessed by the fingers. A depth camera system is also operably connected to the palm. One or more computing devices are operably connected to the depth camera and are configured and programmed to process images provided by the depth camera system to determine the location and orientation of the one or more objects within a workspace, and in accordance therewith, provide as outputs therefrom control signals or instructions configured to be employed by the motors or actuators to control movement and operation of the plurality of fingers so as to permit the fingers to manipulate the one or more objects located within the workspace or target volume. The gripper can also be configured to vary controllably at least one of a force, a torque, a stiffness, and a compliance applied by one or more of the plurality of fingers to the one or more objects.

An apparatus for handling microelectronic devices comprises a pick arm having a pick surface configured for receiving a microelectronic device thereon, drives for moving the pick arm and reorienting the pick surface in the X, Y and Z planes and about a horizontal rotational axis and a vertical rotational axis, and a sensor device carried by the pick arm and configured to detect at least one of at least one magnitude of force and at least one location of force applied between the pick surface and a structure contacted by the pick surface or a structure and a microelectronic device carried on the pick surface.

A method for controlling grasping of an object by a gripper provides for computing a reference position of a grasped object with respect to a reference system integral with the gripper, and monitoring a position of the grasped object. If a displacement of the grasped object with respect to the reference position is detected, the method provides for commanding the gripper to increase grasping force.

A method is provided that includes controlling a robotic gripping device to cause a plurality of digits of the robotic gripping device to move towards each other in an attempt to grasp an object. The method also includes receiving, from at least one non-contact sensor on the robotic gripping device, first sensor data indicative of a region between the plurality of digits of the robotic gripping device. The method further includes receiving, from the at least one non-contact sensor on the robotic gripping device, second sensor data indicative of the region between the plurality of digits of the robotic gripping device, where the second sensor data is based on a different sensing modality than the first sensor data. The method additionally includes determining, using an object-in-hand classifier that takes as input the first sensor data and the second sensor data, a result of the attempt to grasp the object.

Force sensors capable of measuring only forces in xyz coordinate axis directions are installed in fingertips, respectively, and forces and moment forces acting on a robot hand are calculated based on positional information about each fingertip. This structure eliminates the need for using large force sensors to thereby enable downsizing of each fingertip, and enables detection of loads and moment forces acting on the robot hand.

To provide a tool transfer apparatus including gripping force measuring unit for tool holding unit of a tool accommodation apparatus and a machining system including the tool transfer apparatus, a handling robot can perform operation of detaching a tool from a grip positioned at a tool attachment/detachment position of a tool magazine in a machine tool and transferring the tool to a tool stocker, and operation of transferring a tool from the tool stocker and attaching the tool to a grip positioned at the tool attachment/detachment position of the tool magazine. A hand portion of the handling robot is provided with a force sensor, which can detect a load applied to the hand portion. Also, a control apparatus of the handling robot and a control apparatus of the machine tool are connected via a data cable capable of transmission and reception of information.

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.

Systems and methods for visuo-tactile object pose estimation are provided. In one embodiment, a computer implemented method includes receiving image data, depth data, and tactile data about the object in the environment. The computer implemented method also includes generating a visual estimate of the object that includes an object point cloud. The computer implemented method further includes generating a tactile estimate of the object that includes a surface point cloud based on the tactile data. The computer implemented method yet further includes estimating a pose of the object based on the visual estimate and the tactile estimate by fusing the object point cloud and the surface point cloud in a 3D space. The pose is a six-dimensional pose.