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.

A robot includes an arm that has a plurality of arm members, a drive unit driving the plurality of arm members, and a grasp unit; and a force detector. The robot sequentially performs a contact operation in which a fitting member grasped by the grasp unit is moved in a predetermined contact direction and is brought into contact with a to-be-fitted member, a posture change operation in which a posture of the fitting member is changed to a fitting posture, and a fitting operation in which the fitting member in the fitting posture is moved in a searching direction and the fitting member is fitted into the to-be-fitted member in a fitting direction. The contact direction, the searching direction, and the fitting direction are directions different from one another.

A control device includes a processor that is configured to execute computer-executable instructions so as to control a robot, wherein the processor is configured to calculate an optical parameter related to an optical system imaging a target object, by using machine learning, detect the target object on the basis of an imaging result in the optical system by using the calculated optical parameter, and control a robot on the basis of a detection result of the target object.

A control device includes a processor that is configured to execute computer-executable instructions so as to control a robot, wherein the processor is configured to calculate an operation parameter related to an operation of a robot by using machine learning, and control the robot on the basis of the calculated operation parameter.

A control device includes a processor that is configured to execute computer-executable instructions so as to control a robot, wherein the processor is configured to calculate an image processing parameter related to image processing on an image of a target object captured by a camera, by using machine learning, detect the target object on the basis of an image on which the image processing is performed by using the calculated image processing parameter, and control a robot on the basis of a detection result of the target object.

A control device includes a processor that is configured to execute computer-executable instructions so as to control a robot, wherein the processor is configured to calculate a force control parameter related to force control of a robot by using machine learning, and control the robot on the basis of the calculated force control parameter.

In order to stabilize control of a driving section, a robot control apparatus includes a control section that acquires a driving position of the driving section that drives a robot and an operation force that is a force operating on the robot, and performs first control of the driving section based on the driving position and second control of the driving section based on the operation force; and a changing section that changes a size of servo stiffness of the robot that is realized by the control of the control section.

The present invention provides a workpiece contact state estimating device and a workpiece contact state estimation method to estimate an actual state of contact of a workpiece A with a peripheral object on the basis of a feasible contact acting force range, which is a feasible range of the value of a contact acting force (the force acting on a manipulator 1 generated by contact) prepared in advance for each of a plurality of types of contact states that are feasible as the states of contact of the workpiece A with the peripheral object, and a measurement value of the contact acting force at the time of contact of the workpiece A with the peripheral object.

Telerobotic, telesurgical, and/or surgical robotic devices, systems, and methods employ surgical robotic linkages that may have more degrees of freedom than an associated surgical end effector in space. A processor can calculate a tool motion that includes pivoting of the tool about an aperture site. Linkages movable along a range of configurations for a given end effector position may be driven toward configurations which inhibit collisions. Refined robotic linkages and methods for their use are also provided.

Telerobotic, telesurgical, and/or surgical robotic devices, systems, and methods employ surgical robotic linkages that may have more degrees of freedom than an associated surgical end effector in space. A processor can calculate a tool motion that includes pivoting of the tool about an aperture site. Linkages movable along a range of configurations for a given end effector position may be driven toward configurations which inhibit collisions. Refined robotic linkages and methods for their use are also provided.