A method of the present disclosure includes (a) receiving settings of an objective function and a constraint condition, (b) controlling a robot to execute work using a candidate value of a control parameter and measuring a performance index value for the objective function and a constraint evaluation value, (c) searching for a next candidate value of the control parameter by executing optimization processing using a value of the objective function, (d) obtaining the values of the objective function and the constraint evaluation values with respect to the plurality of candidate values by repeating (b) and (c), and (e) displaying a processing result containing a correlation chart showing the values of the objective function and the constraint evaluation values with respect to each of the plurality of candidate values.

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.

An operation parameter adjusting method according to an aspect includes a detecting step for causing a robot to execute a plurality of adjustment operations using candidate values of operation parameters and acquiring detection values of a detecting section, an operation parameter updating step for executing optimization processing for the operation parameters using the acquired detection values to thereby obtain new candidate values of the operation parameters, a repeating step for repeating the operation parameter updating step and the detecting step, and an operation parameter determining step for determining, based on one or more candidate values of the operation parameters obtained by the repeating step, the operation parameter used in the robot system. The detecting step includes a suspension determining step for performing continuation or suspension of the detecting step based on a result of comparison of the acquired detection values of the part of the adjustment operations and a reference value.

A dual mounted end-effector system mounted on a motive robot arm for preparing an object surface is described. The system includes a first tool configured to contact and prepare the object surface and a second tool configured to contact and prepare the object surface. The system also includes a force control. The force control is configured to align, in a first state, with the first tool in position to contact and prepare the object surface and, in a second state, with the second tool in a position to contact and prepare the object surface.

A system includes a transporter robot with a motion controller that changes the transporter robot's poses during transportation. A scanning device is fixed to the transporter robot. One or more processors are coupled to the transporter robot and the scanning device to generate a map of the surrounding environment. At a timepoint T1, when the transporter robot is stationary at a first location, a first pose of the transporter robot is captured. During transporting the scanning device, at a timepoint T2, the scanning device captures additional scan-data of a portion of the surrounding environment. In response, the motion controller provides a second pose of the transporter robot at T2. A compensation vector and a rotation for the scan-data are determined based on a difference between the first pose and the second pose. A revised scan-data is computed, and the revised scan-data is registered to generate the map.

An external force estimation device is configured to estimate an external force acting on a motor. The external force estimation device includes a processor. The processor is configured to: calculate an output torque of the motor by using a value of a current supplied to the motor; estimate an inertia torque of the motor by using rotational position information of the motor; estimate a first friction torque of the motor by using the rotational position information of the motor; perform temperature-based correction for the first friction torque by using temperature information of the motor; and estimate the external force by subtracting the inertia torque and the first friction torque after the temperature-based correction from the output torque.

A method of the present disclosure includes (a) setting a limit value specifying a constraint condition with respect to a specific force control characteristic value detected in force control and an objective function with respect to a specific evaluation item relating to the work, (b) searching for an optimal value of the force control parameter using the objective function, and (c) determining a setting value of the force control parameter according to a result of the searching. The objective function has a form in which a penalty increasing according to an exceedance of the force control characteristic value from an allowable value smaller than the limit value is added to an actual measurement value of the evaluation item.

A robot system includes a manipulator having a plurality of axes and driven by a motor provided for each axis, a robot controller, an encoder attached to the motor for each axis, an encoder wiring line connecting the encoder with the robot controller, a storage part in the manipulator which stores mechanical parameters including identification information for discriminating the encoder for each axis, and a control part in the robot controller which reads out the mechanical parameters from the storage part and communicates with the encoder through the encoder wiring line. The control part discriminates whether the identification information read out from the encoder and the identification information included in the mechanical parameters are coincided with each other or not for each axis and, when both the identification informations are not coincided with each other, the control part determines that erroneous wiring exists in the encoder wiring line.

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 system for performing autonomous agriculture within an agriculture production environment includes one or more agriculture pods, a stationary robot system, and one or more mobile robots. The agriculture pods include one or more plants and one or more sensor modules for monitoring the plants. The stationary robot system collects sensor data from the sensor modules, performs farming operations on the plants according to an operation schedule based on the collected sensor data, and generates a set of instruction for transporting the agriculture pods within the agriculture production environment. The stationary robot system communicates the set of instructions to the agriculture pods. The mobile robots transport the agriculture pods between the stationary robot system and one or more other locations within the agriculture production environment according to the set of instructions.