A method is disclosed for controlled loading by a self-propelled work vehicle comprising ground engaging units supporting a main frame, and at least one work attachment moveable with respect to the main frame for loading and unloading material in a loading area external to the work vehicle. Using at least one detector, such as cameras and/or vehicle motion sensors, location inputs for the loading area are detected respective to the main frame and/or at least one work attachment. A trigger input is detected in association with transition of the work vehicle from a first work state to an automated second work state. In the second work state, at least movement of the main frame and/or the at least one work attachment is automatically controlled relative to a defined reference associated with the loading area. Such a system and method facilitates loading operations and accordingly higher productivity regardless of operator experience.

A hydraulic work system can include a continuously variable displacement hydraulic pump that is powered by an engine and is in communication with a hydraulic actuator. A run-time displacement of the hydraulic pump for movement of the hydraulic actuator can be controlled based on a speed of the engine.

A target posture for a work implement at work is determined. There is provided a working system, comprising a body, a work implement attached to the body, and a computer. The computer has a trained target posture estimation model to determine a target posture for the work implement to assume at work. The computer obtains a target value for an amount of a work performed by the work implement, a period of time elapsing since the work implement started to work, and mechanical data for operation of the body and the work implement, uses the trained posture estimation model to estimate a target posture from the target value, the elapsed period of time and the mechanical data, and thus outputs the estimated target posture.

A method includes the steps of receiving, during a first action of an automatic adaptive loading procedure by a work machine equipped with a boom and a bucket connected to the boom, driveline information of at least one driveline component of the work machine, defining a set of control parameters on the basis of the received driveline information, and controlling position of the boom, position of the bucket, and speed of the work machine on the basis of the defined set of control parameters during a second action of the automatic adaptive loading procedure.

This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.

Systems and methods are disclosed for identifying operations of a machine, The system includes a work tool and an operator input device configured to receive input indicative of a desired movement of the work tool and to generate a command data stream associated with the received input, The system also includes an actuator configured to move the work tool according to the command data stream and a controller in communication with the operator input device and the actuator. The controller is configured to convert the command data stream into a frequency data stream and identify a pattern in the frequency data stream. The controller is also configured to make a classification of a current operation of the machine as one of a plurality of known operations based on the identified pattern. The controller is further configured to trigger an event associated with the current operation of the machine.

A controller 20 mounted on a hydraulic excavator 1 that is able to perform machine control transmits work situation parameters (machine body position, hydraulic working fluid temperature, bucket weight, and target surface gradient) to a management server 71, receives, from the management server, control command correction values that are calculated by the management server on the basis of the work situation parameters and that represent correction values for correcting control commands, and controls hydraulic actuators 5, 6, and 7 with corrected control commands that represent the control commands corrected on the basis of the control command correction values.

A wheel loader includes: an operating state detecting unit detecting an operating state; a target setting unit setting a relationship between a target position of a working equipment and a travel distance of the wheel loader for the operating state detected by the operating state detecting unit; a travel distance detecting unit detecting the travel distance of the wheel loader; and a working equipment controlling unit moving a boom and a bucket to the target position of the working equipment determined depending on the travel distance detected by the travel distance detecting unit.

A control system for a work vehicle includes an actual topography acquisition device, a storage device, a soil amount acquisition device, and a controller. The actual topography acquisition device acquires actual topography information indicating an actual topography of a work target. The storage device stores design topography information indicating a final design topography. The soil amount acquisition device generates a soil amount signal indicating a held soil amount of the work implement. The controller acquires the actual topography information from the actual topography acquisition device and acquires the design topography information from the storage device. The controller generates a command signal for moving the work implement at position that is between the actual topography and the final design topography and is a predetermined distance above the actual topography. The controller acquires the soil amount signal and changes the predetermined distance based on the held soil amount.

This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collect any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.