A control method includes (a) measuring a misregistration index value relating to misregistration of a distal end portion of a manipulator by controlling the manipulator to perform a test operation, and (b) setting a limit value for an operation of the manipulator to prevent the misregistration index value from exceeding a predetermined threshold value.

A fiber includes M primary cores and N redundant cores, where M an integer is greater than two and N is an integer greater than one. Interferometric circuitry detects interferometric pattern data associated with the M primary cores and the N redundant cores when the optical fiber is placed into a sensing position. Data processing circuitry calculates a primary core fiber bend value for the M primary cores and a redundant core fiber bend value for the N redundant cores based on a predetermined geometry of the M primary cores and the N redundant cores in the fiber and detected interferometric pattern data associated with the M primary cores and the N redundant cores. The primary core fiber bend value and the redundant core fiber bend value are compared in a comparison. The detected data for the M primary cores is determined reliable or unreliable based on the comparison. A signal is generated in response to an unreliable determination.

An encoder including a rotary disc that rotates around a rotating shaft, and a sensor that detects a rotational position of the rotary disc, in which the rotary disc is provided with first patterns and second patterns, the first patterns are arranged at positions obtained by equally dividing a first circumference which is a circumference of a first circle into M (M is natural number of 2 or more) at intervals, the second patterns are arranged at positions obtained by equally dividing a second circumference which is a circumference of a second circle which is a concentric circle of the first circle and has a different radius from that of the first circle into N (N is natural number of 2 or more) at intervals, and M and N are different from each other and a greatest common divisor of M and N is 1.

An acceleration adjustment apparatus may include a load calculation unit that calculates a peak value of a load that is estimated to act on a robot, based on a motion equation regarding a motion of the robot and a value of an acceleration of a joint of the robot in motion. The acceleration adjustment apparatus may further include an acceleration adjustment unit that executes at least one of a first adjustment in which, when the peak value of the load calculated by the load calculation unit is greater than a target value of the load acting on the robot when the robot is moving, the acceleration is adjusted to decrease, and a second adjustment in which, when the peak value of the load calculated by the load calculation unit is less than the target value, the acceleration is adjusted to increase.

A method and system for capturing, by a camera a sequence of frames at respective locations within a portion of an environment; capturing, by an inertial measurement unit, a sequence of inertial odometry data corresponding to the sequence of frames at the respective locations; storing in a queue a data record includes information extracted from processing the respective frame and information from the inertial measurement unit; in accordance with a determination that the sequence of inertial odometry data satisfies a first criterion: calculating a first relative pose between the first frame and the second frame; and in accordance with a determination that a difference between the first relative pose and the information extracted from processing the respective frame satisfy a first threshold: generating an initial map of the portion of the environment based on the first data record and the second data record.

Systems and methods for controlling motion of remotely operated equipment such that a motion path is automatically determined for a plurality of joints of the remotely operated equipment based on an updated target position input received from an operator, a current position of the remotely operated equipment, and predetermined parameters indicative of the geometry of the plurality of joints. An optimized motion path may be provided that avoids detected obstacles and joint singularities of the remotely operated equipment.

This control device has: a user information acquisition unit which acquires first user posture information that indicates the posture of a first user operating a robot; a pre-change robot information acquisition unit which, on the basis of the first user posture information, acquires pre-change posture information, which indicates the posture of the robot before the posture of the robot is changed; and a determination unit which determines, as the posture of the robot, a target posture, which is different from the posture of the first user, on the basis of the pre-change posture information and the first user posture information that is acquired by the user information acquisition unit at the time when the robot took the pre-change posture indicated by the pre-change posture information.

An object can be moved via a robotic system with a combination of force and position control. The control system can include the object to be moved, the robotic system that moves the object, at least one force sensor, at least one position sensor, and a controller. A position control output, a force control output, and a hybrid weighting value can each be determined by the controller based on sensor data and then combined to determine an amount of position control and/or force control to be applied to move the object and/or modify an object in motion's trajectory.

A handling device according to an embodiment includes a manipulator, a normal grid generation unit, a hand kernel generation unit, a calculation unit, and a control unit. The normal grid generation unit converts a depth image into a point cloud, generates spatial data including an object to be grasped that is divided into a plurality of grids from the point cloud, and calculates a normal vector of the point cloud included in the grid using spherical coordinates. The hand kernel generation unit generates a hand kernel of each suction pad. The calculation unit calculates ease of grasping the object to be grasped by a plurality of suction pads based on a 3D convolution calculation using a grid including the spatial data and the hand kernel. The control unit controls a grasping operation of the manipulator based on the ease of grasping the object to be grasped by the plurality of suction pads.

A robot control method includes: obtaining force information associated with a left foot and a right foot of the robot; calculating a zero moment point of a COM of a body of the robot based on the force information; updating a motion trajectory of the robot according to the zero moment point of the COM of the body to obtain an updated position of the COM of the body; performing inverse kinematics analysis on the updated position of the COM of the body to obtain joint angles of a left leg and a right leg of the robot; and controlling the robot to move according to the joint angles.