The present disclosure provides a robot posture control method as well as a robot and a computer readable storage medium using the same. The method includes: constructing a virtual model of the robot, wherein the virtual model comprises a momentum wheel inverted pendulum model of the robot and an angle between a sole surface of the robot and a horizontal plane; and performing a posture control based on outer-loop feedback control, inner loop compensation for the external disturbance rejection in position level, inner loop external disturbance rejection via null-space in velocity level, and inner loop external disturbance rejection in force/acceleration level on the robot. In this manner, a brand-new virtual model is provided, which can fully reflect the upper body posture, centroid, foot posture, and the like of the robot which are extremely critical elements for the balance and posture control of the robot.

An embodiment of the present disclosure provides a manipulator for a finishing work, including: a base; an arm comprising a plurality of links, a plurality of joints connecting the plurality of links, and a plurality of actuators generating rotation of at least some of the plurality of joints; and a processor determining a driving torque of each of the plurality of actuators considering a self-weight effect of the manipulator and controlling the plurality of actuators based on the determined driving torque.

An equipment, notably for machining, including a machine having at least one arm, and including at least one first effector which is configured to be coupled to a free end of the arm. The equipment is modular and includes a main interface which is configured to be carried by the free end of the arm and which is configured to be coupled to the first effector, at least one secondary interface which is configured to be coupled to the main interface, and at least one second effector which is configured to be coupled to the at least one secondary interface and to the main interface. The equipment further includes at least one power supply system which is configured to supply power to the at least one secondary interface.

A force transmission system as part of a surgical system which may be configured to be a minimally invasive and/or computer assisted surgical system. Operation of the system may be controlled by transmission of a force from a first section to a second section of the system. The first section and the second section may be separated by a partition or a barrier. The first section may be a non-sterile section and the second section may be a sterile section of the surgical system.

A manipulator system configured to perform a work to a workpiece being moved by a moving device, includes a robotic arm, having one or more joints and to which a tool configured to perform the work to the workpiece is attached, an operating device configured to operate the robotic arm, a first imaging means configured to image the workpiece, while following the movement of the workpiece, a second imaging means fixedly provided in a work area to image a situation of the work to the workpiece, a displaying means configured to display an image imaged by the first imaging means and an image imaged by the second imaging means, and a control device configured to control the operation of the robotic arm based on an operating instruction of the operating device, while detecting a moving amount of the workpiece being moved by the moving device and carrying out a tracking control of the robotic arm according to the moving amount of the workpiece.

A system for performing interactions within a physical environment including: a robot base that undergoes movement relative to the environment; a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon; a first tracking system that measures a robot base position; a second tracking system that measures movement of the robot base; and, a control system that uses a robot base position to at least partially control the robot arm to move the end effector along an end effector path, wherein the control system: determines the robot base position at least in part using signals from the first tracking system; and, in the event of failure of the first tracking system: determines a robot base position using signals from the second tracking system; and, controls the robot arm to move the end effector along the end effector path at a reduced end effector speed.

A sensing manipulator of an articulated arm is disclosed. The sensing manipulator includes a compliant section and a movement detection system provided along a first direction of the compliant section such that movement of the compliant section along both the first direction and at least one direction transverse to said first direction, are detectable by the movement detection system.

A method for specifying a velocity of a robot manipulator, including: providing a database that has a data record for each of selected surface points on the manipulator, wherein each data record indicates, for each of possible stiffnesses and/or masses of an object in an environment of the manipulator, a safe normal velocity of each surface point, wherein the normal velocity is a component of the velocity vector of each surface point perpendicular to a surface of each surface point, detecting an actual stiffness and/or an actual mass of the object in the environment, assigning the actual stiffness and/or the actual mass to a normal velocity of a given data record for each surface point, and specifying a velocity for each surface point on a current or planned path of the manipulator, such that the velocity at each surface point is less than or equal to an assigned normal velocity.

A robot control method, and associated robot controllers and robots operating with such methods and controllers, providing real-time vibration suppression. The control method involves learning to support real-time, vibration-suppressing control. The method uses state-of-the-art machine learning techniques in conjunction with a differentiable dynamics simulator to yield fast and accurate vibration suppression. Vibration suppression using offline simulation approaches that can be computationally expensive may be used to create training data for the controller, which may be provide by a variety of neural network configurations. In other cases, sensory feedback from sensors onboard the robot being controlled can be used to provide training data to account for wear of the robot's components.

A conveying apparatus that facilitates setting of an operation mode and setting of appropriate conditions during teaching is provided. An input determination section determines whether or not a combination of a conveyable weight and an operation mode input from an input portion is appropriate. A motor parameter determination section determines one or more motor parameters of at least one servoamplifier for one or more servomotors based on the operation mode and the conveyable weight determined as appropriate by the input determination section. The one or more motor parameters include a maximum speed and a maximum acceleration of the one or more servomotors. A parameter change section allows a speed and an acceleration of the one or more servomotors to be changed up to the maximum speed and the maximum acceleration, respectively.