Systems and methods for detection of people are disclosed. In some exemplary implementations, a robot can have a plurality of sensor units. Each sensor unit can be configured to generate sensor data indicative of a portion of a moving body at a plurality of times. Based on at least the sensor data, the robot can determine that the moving body is a person by at least detecting the motion of the moving body and determining that the moving body has characteristics of a person. The robot can then perform an action based at least in part on the determination that the moving body is a person.

The invention relates to a sensor arrangement and to a method for safeguarding a monitored zone at a machine. The sensor arrangement comprises a camera continuously generating 3D images, a control and evaluation unit for the position detection of objects in the monitored zone and, in the case of a hazardous position, initiating a safety-directed response of the machine, with a buffer memory unit being provided for storing last recorded images and with a 3D reference map being prepared from the stored images when the safety-directed response was initiated, a voxel identification unit being provided for flagging those voxels in the current 3D image whose coordinates differ by a specified distance from those of the corresponding voxels of the reference map, a movement recognition unit being provided in which the voxels thus identified are examined as to whether they display position changes that are above a fixed threshold in the course of a fixed number of further current images, and independently thereof, a restart signal for the machine being able to be output at an output.

A method for cutting machining of a plate-shaped workpiece, including determining the position of the support points either by measuring or inferring the position of the support points and/or the relative position of the workpiece, establishing starting-point-free regions, establishing end-point-free regions, establishing starting-point-free and end-point-free regions depending on the inferred or measured position of the support points and/or the relative position of the workpiece, establishing a grid of possible starting points and end points, omitting the starting-point-free and end-point-free regions determined in advance, either calculating a torque in a stabilizing and/or tilting direction or calculating a tilt height and/or a tilt depth for each of the points on the grid, setting a priority of points on the grid, transmitting the priority of points to a route planning means of the cutting head, and selecting one of the points on the grid and carrying out the cutting machining.

A numerical controller includes a coordinate management unit that updates machine origin offset data indicating a positional relationship between a machine origin of a machine tool and a machine origin of a robot depending on movement of the machine origin of the machine tool or the machine origin of the robot; and an interference check processing unit that detects interference between the machine tool and the robot on the basis of a position of a first interference definition area and a position of a second interference definition area, and the updated machine origin offset data.

A numerical controller includes a look-ahead unit configured to look ahead a block in the program into a buffer, a remaining block determination unit configured to determine whether retraction of a tool is needed or return of the tool is needed based on an amount of the block looked ahead in the buffer, a tool operation control unit configured to control retraction and return of the tool when the remaining block determination unit determines that retraction of the tool is needed, a block division unit configured to divide a block to divide at a position apart from both ends of the block according to a command from the tool operation control unit, and a tool path generation unit configured to generate a tool retraction path and a tool return path and insert the generated paths into a divided position in the block divided by the block division unit.

A robot sensor arrangement system. At least one sensor assembly is arranged on a robot body (20), wherein the sensor assembly comprises image sensors (1001, 1002) and a first inertial sensor (1007), and the positions of the image sensors (1001, 1002) relative to the first inertial sensor (1007) are fixed such that the image sensors and the first inertial sensor (1007) do not move as external physical conditions, such as vibration and temperature change. The included angle between the positions of the image sensors (1001, 1002) and a vertical axis is in a first angle range so as to ensure the robot can autonomously sense the surrounding environment to improve the capability of autonomous obstacle avoidance and the robustness of a robot system.

Systems and a method determine a sequence of joint values of an external axis along a sequence of targets. Inputs are received, including robot representation, tool representation, sequence of targets, kinematics of the axis joints, and/or type of robot-axis motion. For each target, it is generated at least one weight factor table representing, for each available configuration of the axis joint motion, a combined effort of the robot motion and the axis motion depending on the type of combined robot-axis motion. Valid weight factor values of the table are determined by simulating collision free trajectories for reaching the target. The sequence of joint values of the at least one external axis is determined by finding from the weight factor table a sequence of joint values for which the sum of their corresponding weight factors for reaching the target location sequence is minimized.

Systems and methods for surgical robotic collision detection in accordance with aspects of the present disclosure are disclosed. In various embodiments, a system for surgical robotic collision detection includes a robotic cart having a robotic arm, an imaging device supported by the robotic cart or the robotic arm, the imaging device captures images within a field of vision of the imaging device, and a controller in operable communication with the robotic arm and the imaging device. The controller includes a processor and a memory storing instructions which, when executed by the processor, causes the controller to: receive the images from the imaging device, generate a grid including a first plurality of spatial points from the images, and detect a potential collision within the field of vision based on the generated grid.

An NC device 20 determines, in a case where a size of an opening forming region in a predetermined direction is smaller than a predetermined maximum value, that the opening forming region is a first opening forming region, and determines, in a case where the size of the opening forming region in the predetermined direction is larger than a predetermined minimum value, that the opening forming region is an opening forming region where a scrap interfering with a laser head 16 is formed. In a case where the size of the opening forming region in the predetermined direction is smaller than the predetermined maximum value and larger than the predetermined minimum value, the device determines that the opening forming region in an interference width added region obtaining by adding a predetermined interference width to the opening forming region is a second opening forming region, and processes the second opening forming region prior to processing of the first opening forming region.

A robot and operation method is disclosed. The robot according to the present disclosure may include a sensor, a microphone, and a controller. The robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and may communicate with other electronic devices in a 5G communication environment. An embodiment may include detecting a movement of the robot to a location; detecting an obstacle within a predetermined range from the robot; estimating an occupation area of the obstacle in space; and identifying a sound signal received from the estimated occupation area of the obstacle from among a plurality of sound signals received by a plurality of microphones of the robot at the location.