Abstract:
A 3D construction system for creating an object includes, among other components, an online 3D blueprint model for the object and a 3D print head. An online control plan for controlling operation of the 3D print head to create the object according to the online 3D blueprint model is also provided. At least one 3D perception sensor scans a constructed portion of the object to generate sensor readings. A processing device, which is part of a computer system, creates an online 3D replica model of the constructed portion of the object using the sensor readings, and compares the online 3D replica model to the online 3D blueprint model or an ideal printed 3D model to identify a difference. The online control plan is modified responsive to the difference.
Abstract:
An inference system for monitoring a cementitious mixture for three-dimensional printing is provided. The inference system includes an ambient condition sensor, a temperature sensor, a moisture sensor and an image capturing device. The inference system also includes a controller coupled to the ambient condition sensor, the temperature sensor, the moisture sensor, and the image capturing device. The controller receives sensed ambient conditions, a temperature signal, and a moisture content signal. The controller receives an image feed of a portion of a cementitious mixture. The controller also receives signals indicative of a motor speed and a motor torque associated with a mixing container. The controller builds a model and determines a material suitability of the cementitious mixture using the model based on the received ambient conditions, the temperature signal, the moisture content signal, the image feed, the motor speed, and the motor torque and determines one or more corrective actions.
Abstract:
An inference system for monitoring a cementitious mixture for three-dimensional printing is provided. The inference system includes an ambient condition sensor, a temperature sensor, a moisture sensor and an image capturing device. The inference system also includes a controller coupled to the ambient condition sensor, the temperature sensor, the moisture sensor, and the image capturing device. The controller receives sensed ambient conditions, a temperature signal, and a moisture content signal. The controller receives an image feed of a portion of a cementitious mixture. The controller also receives signals indicative of a motor speed and a motor torque associated with a mixing container. The controller builds a model and determines a material suitability of the cementitious mixture using the model based on the received ambient conditions, the temperature signal, the moisture content signal, the image feed, the motor speed, and the motor torque and determines one or more corrective actions.
Abstract:
A system related to synthetic colorization of real-time immersive environments is disclosed. The system discloses converting real-time camera data on-board a machine into signatures which describe the real-time camera data. The signatures are based on image properties, such as color, intensity, and illumination. The signatures, which require much less bandwidth than the real-time camera data to transmit, are transmitted to a remote operator station. The remote operator station utilizes the signatures to synthetically color and texture the environment surrounding the machine to provide an immersive environment to a user at the remote operator station.
Abstract:
A system related to synthetic colorization of real-time immersive environments is disclosed. The system discloses converting real-time camera data on-board a machine into signatures which describe the real-time camera data. The signatures are based on image properties, such as color, intensity, and illumination. The signatures, which require much less bandwidth than the real-time camera data to transmit, are transmitted to a remote operator station. The remote operator station utilizes the signatures to synthetically color and texture the environment surrounding the machine to provide an immersive environment to a user at the remote operator station.
Abstract:
A positioning system and method for determining a position of a machine on a worksite are disclosed. The method may store a map of the worksite which includes one or more known objects in the worksite. The method may determine whether a locating device associated with the machine is accurately providing the position of the machine. The method may also include detecting one or more objects in the worksite. The method may further determine an unmatched object from among the detected objects that does not match the one or more known objects stored in the map. The method may also store the unmatched object in the map as a known object of the worksite.
Abstract:
An inference system for monitoring a cementitious mixture for three-dimensional printing is provided. The inference system includes an ambient condition sensor, a temperature sensor, a moisture sensor and an image capturing device. The inference system also includes a controller coupled to the ambient condition sensor, the temperature sensor, the moisture sensor, and the image capturing device. The controller receives sensed ambient conditions, a temperature signal, and a moisture content signal. The controller receives an image feed of a portion of a cementitious mixture. The controller also receives signals indicative of a motor speed and a motor torque associated with a mixing container. The controller builds a model and determines a material suitability of the cementitious mixture using the model based on the received ambient conditions, the temperature signal, the moisture content signal, the image feed, the motor speed, and the motor torque and determines one or more corrective actions.
Abstract:
A positioning system and method for determining a position of a machine on a worksite are disclosed. The method may store a map of the worksite which includes one or more known objects in the worksite. The method may determine whether a locating device associated with the machine is accurately providing the position of the machine. The method may also include detecting one or more objects in the worksite. The method may further determine an unmatched object from among the detected objects that does not match the one or more known objects stored in the map. The method may also store the unmatched object in the map as a known object of the worksite.