A method for redundancy-optimized planning of the operation of a redundant mobile robot having a robot arm includes using a tool center point (TCP) associated with the robot arm and assigned a Cartesian TCP coordinate system having a first, second, and third TCP-coordinate axes; using a Cartesian world coordinate system having first, second, and third world coordinate axes, wherein the first and second world coordinate axes span a plane on which the mobile robot moves, a height of the TCP from which the plane is assigned, and one of the TCP coordinate axes and the plane enclose an angle; creating at least one graph wherein a redundancy is presented as a function of the height and the angle, wherein the redundancy is a measure of possible configurations of the mobile robot depending on the height and the angle; and planning operation of the mobile robot using the graph.

A method for calculating an arm angle range of a robot arm includes: determining a pose at an tail end position of the robot arm; judging whether an angle of an elbow joint is within a limit thereof when an arm angle is 180 degrees; if yes, constructing a first position matrix characterizing the elbow joint by using the pose and the arm angle; constructing a second position matrix of the elbow joint by using DH parameters of other joints of the robot arm; calculating, according to the first position matrix and the second position matrix, a first arm angle feasible region satisfying a limit of a position joint; judging whether the robot arm has a secondary position joint; and intersecting with the calculated first arm angle feasible region to obtain an arm angle range if no secondary position joint is present at the robot arm.

In some aspects, computer-implemented methods for selecting a robotic tool path for a manufacturing processing system to execute a material processing sequence in three-dimensional space can include: providing to a computer-readable product including robotic system data of a robotic tool handling system and workpiece data relating to a processing path of a tool along the workpiece; generating a plurality of possible robotic tool paths to be performed to move the tool along the processing path; identifying one or more obstacles, or an absence of obstacles, associated with the robotic tool paths; comparing robotic tool paths based on a predetermined robotic parameter to be controlled as the tool moves from the start point to the end point; and based on the identified obstacles, determining feasible tool paths, between the start point and the end point that avoid the obstacles, that can be obtained by adjusting the predetermined robotic parameter.

Embodiments of the present disclosure are directed towards a robotic system. The system may include a robot configured to receive an initial constrained approach for performing a robot task. The system may further include a graphical user interface in communication with the robot. The graphical user interface may be configured to allow a user to interact with the robot to determine an allowable range of robot poses associated with the robot task. The allowable range of robot poses may include fewer constraints than the initial constrained approach. The allowable range of poses may be based upon, at least in part, one or more degrees of symmetry associated with a workpiece associated with the robot task or an end effector associated with the robot. The system may also include a processor configured to communicate the allowable range of robot poses to the robot.

Systems and a method for teaching a robot in reaching a given target location. The system and method include receiving inputs on a representation of a given target location to be reached by the robot. A check is made whether the given target location is singular. If the given target location is non-singular, the teaching of the robot is effected by associating with the given target location a selected configuration. If the given target is singular, the teaching of the robot is effected by associating with the given target location an assigned joint-values solution.

In some aspects, computer-implemented methods for selecting a robotic tool path for a manufacturing processing system to execute a material processing sequence in three-dimensional space can include: providing to a computer-readable product including robotic system data of a robotic tool handling system and workpiece data relating to a processing path of a tool along the workpiece; generating a plurality of possible robotic tool paths to be performed to move the tool along the processing path; identifying one or more obstacles, or an absence of obstacles, associated with the robotic tool paths; comparing robotic tool paths based on a predetermined robotic parameter to be controlled as the tool moves from the start point to the end point; and based on the identified obstacles, determining feasible tool paths, between the start point and the end point that avoid the obstacles, that can be obtained by adjusting the predetermined robotic parameter.

A technique for providing reliable control of a robot (304) in a cloud robotics system (300) is disclosed. A computing unit configured to execute a concealment component (100) for concealing delayed or lost commands sent to the robot (304) by a robot controller (302) in the cloud robotics system (300) comprises at least one processor and at least one memory, wherein the at least one memory contains instructions executable by the at least one processor such that the concealment component (100) is operable to detect a missing command expected to be received by the robot (304) from the robot controller (302), the missing command detected based on a delay or loss of the command in a communication path between the robot (304) and the robot controller (302), generate a substitutional command corresponding to an expected instruction of the missing command, and send the substitutional command to the robot (304).

A method of teaching a robot capable of maintaining constant a direction in which an end faces and including N joints (N is a natural number) according to an embodiment of the present disclosure includes: obtaining a reference direction in which the end is to face; calculating angles of M joints (M is a natural number, and N>M) from among the N joints to correspond to teaching of a user with respect to the robot; and calculating angles of remaining joints so that the end faces in the reference direction, based on the angles of the M joints. In this case, the remaining joints may be joints other than the M joints from among the N joints.

Devices, systems, and methods for reconfiguring a surgical manipulator by moving the manipulator within a null-space of a kinematic Jacobian of the manipulator arm. In one aspect, in response to receiving a reconfiguration command, the system drives a first set of joints and calculates velocities of the plurality of joints to be within a null-space. The joints are driven according to the reconfiguration command and the calculated movement so as to maintain a desired state of the end effector or a remote center about which an instrument shaft pivots. In another aspect, the joints are also driven according to a calculated end effector or remote center displacing velocities within a null-perpendicular-space of the Jacobian so as to effect the desired reconfiguration concurrently with a desired movement of the end effector or remote center.

Drive unit of an automation component, in particular a gripping, clamping, changing, linear or pivoting unit, whereby the drive unit comprises includes a drive for driving the movable parts of the automation component and a control unit which controls the drive, whereby the control unit comprises includes at least one computing device, and the drive unit together with the drive, control unit and computing device is arranged in or on a base housing of the automation component.