Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing interpolated robot control parameters. One of the methods includes receiving, by a real-time bridge from a control agent for a robot, a non-real-time command for the robot, wherein the non-real-time command specifies a trajectory to be attained by a component of the robot and a target value for a control parameter, wherein the control parameter controls how a real-time controller will cause the robot to react to one or more external stimuli encountered during a control cycle of the real-time controller. The real-time bridge provides the one or more real-time commands translated from the non-real-time command and interpolated control parameter information to the real-time controller, thereby causing the robot to effectuate the trajectory of the non-real-time command according to the interpolated control parameter information.

A force control parameter setup support method of supporting a setup of a force control parameter to be used for force control when controlling a robot arm a tip of which is attached with a polishing tool using the force control to perform a polishing task on an object including a first step of obtaining task information related to the polishing task, a second step of selectively reading out information of the force control parameter corresponding to the task information obtained in the first step from a storage section in which a plurality of pieces of information of the force control parameter is stored, and a third step of displaying the information of the force control parameter read out in the second step on a display section.

One or more force control parameters used in force control is adjusted. A robot system includes a robot, a force detector configured to measure an external force exerted on the robot, and a control section that causes the robot to perform an action through feedback control. A measured force value that is a measured value of the external force is produced by causing the robot to perform an action using one or more second servo gains corresponding to one or more first servo gains used when the robot system is caused to perform an actual task, the second servo gains each having a value greater than the value of the corresponding first servo gain, and further using a candidate value of the force control parameters. A new candidate value of the force control parameters is produced by carrying out an optimization process on the force control parameters by using the measured force value. A parameter determination step of determining the force control parameters by repeating a measurement step and a parameter update step is provided.

A method of controlling a robot manipulator, the method including: providing a database containing body zones of a person, wherein each of the body zones is assigned a respective maximum permissible value of contact pressure value, determining a current or a future contact event of the robot manipulator involving the person, and determining a body zone of the person that is contacted, determining a reference position fixed relative to a body of the person, wherein the reference position indicates beginning of a spatial progression of depression of tissue of the person during the contact event with the person, and controlling the robot manipulator in an impedance-regulated manner, such that the reference position serves as a zero position of an artificial spring component of impedance regulation of the robot manipulator and a maximum permissible contact pressure is not exceeded as a limit value.

A method of operating a robot manipulator, the method including: specifying a maximum permissible force to be exerted on an object by the robot manipulator, specifying a target position of a reference point of the robot manipulator, determining a current position of the reference point, performing an impedance regulation, which determines a current reference force of an artificial spring component based on a spring stiffness and based on a difference between the current position and the target position of the reference point of the robot manipulator, and controlling the robot manipulator to execute an emergency control program if the current reference force exceeds the maximum permissible force.

The present disclosure relates to a method for generating a novel impedance configuration for a three-degree-of-freedom (3DOF) leg of a hydraulically-driven legged robot. The method includes: separately determining variations of input signals of an inner position-based control loop and an inner force-based control loop of a hydraulic drive unit of each joint based on an obtained mathematical model; generating a novel impedance configuration in which position-based control is performed on a hydraulic drive unit of a hip joint, and force-based control is performed on hydraulic drive units of a knee joint and an ankle joint in a hydraulic drive system of the leg of a to-be-controlled robot; and performing forward calculation by using the leg mathematical model, to obtain an actual position and a force variation of the foot of the leg of the to-be-controlled robot to control motion of the foot of the to-be-controlled robot within motion space.

The invention relates to a method of control ling an actuator (1) of an articulated segment (5) comprising the steps of estimating an inertia J of the segment; estimating or measuring a speed of displacement (I) of the segment; synthesizing a control law of type (II) generating a control torque for the segment on the basis of these estimates or measurements and meeting a performance objective pertaining to the loading sensitivity function: (III) K being the desired stiffness, and c a desired damping rate, a a mathematical artifact, (IV), where G(s) is the transfer function (V) for going between the speed (I) (linear or angular) of the segment and an external force F experienced by the segment; and controlling the actuator of the articulated segment according to the control law thus synthesized.

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A method for controlling a mechanical system having a plurality of components interlinked by a plurality of driven joints, the method comprising: measuring torques or forces about or at the driven joints and forming a load signal representing the measured torques or forces; receiving a motion demand signal representing a desired state of the system; implementing an impedance control algorithm in dependence on the motion demand signal and the load signal to form a target signal indicating a target configuration for each of the driven joints; measuring the configuration of each of the driven joints and forming a state signal representing the measured configurations; and forming a set of drive signals for the joints by, for each joint, comparing the target configuration of that joint as indicated by the target signal to the measured configuration of that joint as indicated by the state signal.

A jointed mechanism includes a passive pendulum system attached to and suspended from the multi-axis robot. The system includes one or more position sensors configured to measure a joint angle on the pendulum system, at least one arm, and an end-effector attached to a distal end of the pendulum system. A controller implements a method to selectively control motion of the robot in a plurality of control modes. The control modes include a Cooperative Mode and an Autonomous Mode. The controller is configured to detect contact with the end-effector when operating in the Autonomous Mode, and to automatically initiate a control action in response to the contact. The pendulum system may be a parallelogram arrangement.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing interpolated robot control parameters. One of the methods includes receiving, by a real-time bridge from a control agent for a robot, a non-real-time command for the robot, wherein the non-real-time command specifies a trajectory to be attained by a component of the robot and a target value for a control parameter, wherein the control parameter controls how a real-time controller will cause the robot to react to one or more external stimuli encountered during a control cycle of the real-time controller. The real-time bridge provides the one or more real-time commands translated from the non-real-time command and interpolated control parameter information to the real-time controller, thereby causing the robot to effectuate the trajectory of the non-real-time command according to the interpolated control parameter information.