The present disclosure provides a redundant robotic arm control method, a redundant robotic arm, and a computer readable storage medium. The method includes: obtaining an external force acting on an end of the robotic arm and an external torque acting on each joint; calculating a first joint speed of each joint based on a degree of influence of the joint on the end in each motion dimension and the external force acting on the end; determining a zero space speed of each joint corresponding to a current position of the end based on a link torque of an external force acting on a link with respect to the joint; calculating a total joint speed based on the first joint speed and the zero space speed; and controlling the robotic arm to the move according to the total joint speed.

The invention relates to a method for controlling a robotic device (50) with modified control commands transmitted over a wireless network, wherein the robotic device (50) comprises a plurality of joints (53), wherein each joint represents one degree of freedom of the robotic device, the method comprising at a trajectory modification entity (100): -determining a load of the wireless network (30), -receiving a plurality of control commands controlling a planned trajectory of the robotic device (50) from a robotic control entity (70), each of the control commands configured to control one degree of freedom of a first number of degrees of freedom addressed by the plurality of control commands, -determining a reduced number of degrees of freedom for the modified control commands smaller than the first number based on the determined load, -determining the modified control commands based on the reduced number of degrees of freedom, wherein the modified control commands address a limited number of degrees of freedom not higher than the reduced number of degrees of freedom, -transmitting the modified control commands instead of the received plurality of control commands to the robotic device (50).

Devices, systems, and methods for providing increased range of movement of the end effector of a manipulator arm having a plurality of joints with redundant degrees of freedom. Methods include defining a position-based constraint within a joint space defined by the at least one joint, determining a movement of the joints along the constraint within a null-space and driving the joints according to a calculated movement to effect the commanded movement while providing an increased end effector range of movement, particularly as one or more joints approach a respective joint limit within the joint space.

Provided is a robot system in which when a robot is transported to and installed at an actual installation position, correction is made to correct errors in robot installation. This robot system is provided with: a reference point disposed at a location where a robot is to be installed; a position measurement means that, at a plurality of positions to which the robot is moved, makes a measurement of a prescribed position of the robot according to an installation coordinate system C1 based on the reference point; a position calculation means that determines a prescribed position of the robot according to a base coordinate system C2 of the robot; and a matrix calculation means that calculates a conversion matrix used to convert the base coordinate system C2 to the installation coordinate system C1 so that any difference between the prescribed position measured by the position measurement means and the prescribed position determined by the position calculation means becomes minimal.

A robot system control method includes a first step through a fifth step. Particularly in the second step, a second transformation matrix that represents the positional relation between a first slave robot and a second slave robot is generated and stored in a master robot. In the fourth step, based on a second command obtained using a first transformation matrix and the second transformation matrix, the master robot instructs the second slave robot to operate. In the fifth step, the first slave robot and the second slave robot perform a cooperative operation with the master robot. Thus, in the state where a working robot that can perform TCP matching with only part of the other robots is set to a master robot, all of the robots can perform a cooperative operation.

A system includes a robotic manipulator including a serial chain comprising a first joint, a second joint, and a first link. The system further includes a processing unit including one or more processors. The processing unit is configured to receive first link data from a first sensor system located at the first link, generate a first joint state estimate of the first joint based on the first link data, and generate a second joint state estimate of the second joint. The processing unit is further configured to apply a first weight to the first joint state estimate to generate a first weighted joint state estimate, apply a second weight to the second joint state estimate to generate a second weighted joint state estimate, and control the first and second joints based on the first weighted joint state estimate and second weighted joint state estimate.

A method of controlling a robot includes: obtaining an inertia matrix and a slack variable of the robot, and determining a momentum equation of the robot according to the inertia matrix and the slack variable; obtaining reference joint angles corresponding to a reference action of the robot; determining an optimization objective function of the momentum equation according to a first preset weight coefficient of the slack variable and a second preset weight coefficient of the reference joint angles; and determining joint angles of the robot according to the optimization objective function, and driving the robot to move according to the joint angles of the robot.

In a trajectory generation apparatus, position coordinates of an obstacle existing in a motion space of a robot arm is acquired. A hand position at a second time, which is a time next to a first time, is estimated by using a learning result of machine learning, based on the position coordinates of the obstacle, a subject joint state of the robot arm at the first time, and a target joint state of the robot arm. A non-interfering joint state of the robot arm at which the obstacle does not interfere with the robot arm at the second time is searched for by using the hand position as a restriction.

A modular robotic device is provided. The modular robotic device includes a robot base and a robotic manipulator connected to the robot base and operable to articulate a tool device connected to an end of the robotic manipulator. The robotic manipulator includes a plurality of modular rigid segments, wherein each of the plurality of modular rigid segments includes a joint portion and each operable to be selectably connected to the robotic manipulator. The plurality of modular rigid segments is interchangeable and operable to be assembled in various combinations.

A computer-assisted medical device including a first joint set on an articulated arm, a second joint set on the articulated arm, and a control unit coupled to the first joint set and second joint set. The control unit determines a disturbance to the first joint set caused by a release of one or more brakes and compensates for the disturbance using the second joint set to reduce motion to a position of a point of interest. In some embodiments, the control unit compensates for the disturbance by determining an initial position for the point of interest with respect to a reference point, determining a predicted motion for the point of interest based on the disturbance to the first joint set, and sending a drive command to the second joint set to move the point of interest in a direction opposite to the predicted motion.