摘要:
A method in which an apparatus receives first sensor data from first sensors and determines a target position from the data, the target position may be a position in space or an orientation of a gripper in a robot arm First instructions are issued to the robot arm or the gripper in order to move a gripper to the target position. Force feedback sensor data is received from force feedback sensors associated with either the robot arm or the gripper or from the first sensors. A failure in carrying out the first instructions is determined. Second sensor data is received from the at least one first sensor. Successful gripping of an object is determined from the second sensor data.
摘要:
The invention relates to a method and system for invalidating sensor measurements after a sorting action on a target area of a robot sorting system. In the method there are obtained sensor measurements using sensors from a target area. A first image is captured of the target area using a sensor over the target area. A first sorting action is performed in the target area using a robot arm based on the sensor measurements and the first image. Thereupon, a second image of the target area is captured using a sensor over the target area. The first and the second images are compared to determine invalid areas in the target area. The invalid areas are avoided in future sorting actions based on the sensor measurements.
摘要:
A method in which an apparatus receives first sensor data from first sensors and determines a target position from the data, the target position may be a position in space or an orientation of a gripper in a robot arm First instructions are issued to the robot arm or the gripper in order to move a gripper to the target position. Force feedback sensor data is received from force feedback sensors associated with either the robot arm or the gripper or from the first sensors. A failure in carrying out the first instructions is determined Second sensor data is received from the at least one first sensor. Successful gripping of an object is determined from the second sensor data.
摘要:
The invention relates to a method and system for recognizing physical objects. In the method an object is gripped with a gripper, which is attached to a robot arm or mounted separately. Using an image sensor, a plurality of source images of an area comprising the object is captured while the object is moved with the robot arm. The camera is configured to move along the gripper, attached to the gripper or otherwise able to monitor the movement of the gripper. Moving image elements are extracted from the plurality of source images by computing a variance image from the source images and forming a filtering image from the variance image. A result image is obtained by using the filtering image as a bitmask. The result image is used for classifying the gripped object.
摘要:
In the method of the invention, information is selected in a processing unit. The end result to be achieved is final feature information to be used for performing a task. In the method, input information to the processing unit is treated with the intention to find useful information from the input information in view of the task. Feature information representing characteristics of the input information is formed from the input data, the values of the feature information being further processed on the basis of their utility. The method is mainly characterized in that a preliminary prediction is formed from a first context of a sot of input information by means of first parameters and in that the first primary input of the set of input data is preprocessed by forming calculation results by means of second parameters.
摘要:
In the method of the invention, information is selected in a processing unit. The end result to be achieved is final feature information to be used for performing a task. In the method, input information to the processing unit is treated with the intention to find useful information from the input information in view of the task. The input information consists of a primary input and a context representing general information related to the task to be performed. Feature information representing characteristics of the input information is formed from the input data, the values of the feature information being further processed on the basis of their utility. The method is mainly characterized in that a preliminary prediction is formed from a first context of a set of input information by means of first parameters and in that the first primary input of the set of input data is preprocessed by forming calculation results by means of second parameters. The utility of the information resulting from the foregoing steps is estimated by combining said prediction and the calculation results in such a way that useful characteristics are selected from the calculation results on the basis of the prediction and the feature information is formed by strengthening useful characteristics and by weakening other characteristics. Then, the second parameters are modified in such a way that the step, wherein the primary input data was preprocesed, would have given the calculation results corresponding to the feature information obtained in the estimation step. Thereafter, a subsequent context of a set of input data and subsequent primary data are processed and the foregoing steps are repeated for each element of input information in order to end up with the final feature information.