Abstract:
Verfahren zum Anordnen von, insbesondere thermoplastischen, Halbzeugen (H), unter Verwendung einer elektronisch gesteuerten oder geregelten Ablegevorrichtung für die Halbzeuge (H), mit folgenden Schritten: - Erfassen zumindest eines Teils eines Umrisses (U) eines abzulegenden Halbzeugs (H) durch eine Erfassungsvorrichtung (2), - Bestimmen einer Soll-Position (P SOLL ) für das Halbzeug (H) und/oder für die Ablegevorrichtung zum Ablegen des Halbzeugs (H) unter Abgleich des zumindest einen Teils des Umrisses (U) mit einer an einem Untergrund auftretenden Legekante und Ablegen des Halbzeugs (H) durch die Ablegevorrichtung unter Verwendung der Soll- Position (P SOLL ).
Abstract:
The present approach relates to streaming data derived from inspection data acquired using one or more robots performing inspections of an asset or assets. Such inspections may be fully or partially automated, such as being controlled by one or more computer-based routines and may be planned or dynamically altered in response to inputs or requirements associated with an end-user of the inspection data, such as a subscriber to the data in a publication/subscription distribution scheme. Thus, an inspection may be planned or altered based on the data needs or subscription levels of the user or customers.
Abstract:
A computer-implemented method includes recording, with a three-dimensional camera, one or more demonstrations of a user performing one or more reaching tasks. Training data is computed to describe the one or more demonstrations. One or more weights of a neural network are learned based on the training data, where the neural network is configured to estimate a goal location of the one or more reaching tasks. A partial trajectory of a new reaching task is recorded. An estimated goal location is computed, by a computer processor, by applying the neural network to the partial trajectory of the new reaching task.
Abstract:
A system for dispatching cleaning robots is disclosed. The system (100) includes an input subsystem (10) configured to provide an input signal including information about foot traffic in a time period in an area. The system (100) includes a processing subsystem (30) to receive and process the input signal and further to determine a cleaning task under an operation scheme and generate a control signal for the cleaning task. Further the system (100) includes a communication subsystem (50) configured to receive the control signal from the processing subsystem (30) and one or more first signals respectively from the one or more cleaning robots (200). The communication subsystem (50) sends the control signal based on the one or more first signals to dispatch at least one cleaning robot (200) to the area to perform the cleaning task and receives one second signal from the cleaning robot (200) to update the operation scheme.
Abstract:
A robot automatic assembling system, comprising: a robot having a manipulator for holding a component to be assembled; a positioning system configured to roughly position the component; a vision system configured to accurately identifying position and direction of the component held by the manipulator; and an assembling station where the robot performs the assembling operation of the component. The robot automatic assembling system is configured adaptively select different assembling paths for the component according to assembling accuracy required by the component to be assembled. The different assembling paths at least comprise a first assembling path from the positioning system directly to the assembling station and a second assembling path from the positioning system through the vision system to the assembling station. The automatic assembling system may assemble different components by following different customized assembling paths.
Abstract:
A processing system is disclosed for providing processing of homogenous and nonhomogenous objects in both structured and cluttered environments. The processing system includes a programmable motion device including an end effector, a perception system for recognizing any of the identity, location, and orientation of an object presented in a plurality of objects at an input location, a grasp acquisition system for acquiring the object using the end effector to permit the object to be moved from the plurality of objects to one of a plurality of destination bins, and a motion planning system for determining a changing portion of a trajectory path of the end effector from the object to a base location proximate to the input location, and determining an unchanging portion of a trajectory path of the end effector from the base location to a destination bin location proximate to a destination bin.
Abstract:
A system for management of packing articles on one or more cargo units, each for loading on one of a plurality of cargo vehicles, is provided. The system comprises a registration station to identify and communicate freight data characterizing each of the articles, thereby facilitating registration thereof, wherein the freight data comprises physical attributes and shipping information, and wherein the registration station comprises one or more computer-controlled sensors to identify at least some of the physical attributes; a build-up station configured for packing the articles on the cargo units, the build-up station comprising a robotic arm for carrying an article while supporting it from below; and a controller to receive the freight data from the registration station, and to direct operation of the system.
Abstract:
Technologies are generally described for grasp point selection for robotic grippers through machine vision and ultrasound beam based deformation. The grasp point selection may aim to increase a probability that the grasp points on an object behave in a substantially similar way when a robotic gripper executes a corresponding grasp on the object. According to some examples, an outline of an object may be extracted from a three-dimensional (3D) image of the object and a set of points may be selected as candidate grasp points from the out line based on the candidate grasp points' potential, to achieve force closure. One or more ultrasound transducers may be used to exert a local force on the candidate grasp points through an ultrasound beam and resulting local deformations may be recorded. Final grasp points may be selected based on having similar response to the force applied by the ultrasound transducers.