A controller acquires a target soil amount in one work path with respect to an actual topography. The controller determines a target profile in the one work path based on the target soil amount. The controller performs work in the one work path by operating a work implement according to the target profile. The controller acquires a maximum traction force of the work machine during the one work path. The controller determines whether the maximum traction force is smaller than a reference traction force. The controller increases the target soil amount in a next work path when the maximum traction force is smaller than the reference traction force. The controller determines the target profile in the next work path based on the increased target soil amount.

A grading machine include a machine body, a grading blade, at least one grading blade sensor configured to sense a position and orientation of the grading blade, a drawbar connecting the grading blade to the machine body, a drawbar centershift cylinder, a user interface, and a control system. The control system is configured to receive an input from the user interface and position and orient the grading blade and the drawbar to one of a plurality of predetermined maintenance positions based on the input.

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.

The present disclosure discloses an engineering machinery equipment, and a method, system, and storage medium for operation trajectory planning thereof, and relates to the field of artificial intelligence, automatic control, and engineering machinery technologies. A method can include: acquiring three-dimensional sensing data of a material pile, to construct a three-dimensional model of the material pile based on the three-dimensional sensing data; determining a loading operation position of the engineering machinery equipment on the material pile based on the three-dimensional model of the material pile and structural design information of the engineering machinery equipment; and acquiring position information of a mechanical structural component of the engineering machinery equipment, and performing operation trajectory planning based on the position information of the mechanical structural component and the loading operation position, to generate an operation trajectory of the mechanical structural component executing a material loading operation.

A method for automatically adjusting the position of an implement of a lift assembly of a work vehicle includes determining a tilt transition boom angle for the lift assembly, determining a closed-loop control signal associated with controlling movement of the implement based at least in part on the tilt transition boom angle, generating a valve command signal based at least in part on the closed-loop control signal, and controlling an operation of at least one valve associated with the implement based at least in part on the valve command signal to maintain the implement at a target implement angle as a boom of the lift assembly is being moved across a boom travel range.

A control device outputs an operation signal of a work equipment and a swing body for moving a work equipment to a loading point when receiving a loading command signal. The control device does not output a dumping operation signal for causing the bucket to dump earth in a case where an azimuth direction in which the swing body faces is within a first region from a starting point azimuth direction to a predetermined reference azimuth direction, the starting point azimuth direction being an azimuth direction in which the swing body faces when the loading command signal is received. The control device outputs the dumping operation signal in a case where the azimuth direction is within a second region from the reference azimuth direction to an end point azimuth direction in which the swing body faces when the work equipment is positioned at the loading point.

This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collect 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 perform an excavation routine by excavating earth from a hole using an excavation tool positioned at a single location within the site. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, navigating the excavation vehicle over a distance while continuously excavating earth from a below surface depth, and preparing a digital terrain model of the site as part of a process for creating the excavation routine.

A work machine is provided with grade control capability using an imaging system, e.g., rather than GPS. The work machine includes at least one work implement for working at least part of a terrain, and first sensors (e.g., cylinder sensors) generate signals corresponding to positions of the work implement. Second sensors (e.g., stereo cameras) generate signals corresponding to positions of representative features of the terrain (e.g., curbs) in a field of view. A controller receives the signals and determines in a local reference system independent of a global reference system: first position information corresponding to the work implement; and second position information corresponding to the representative features. According to a selected control mode, target parameters for the work implement are determined based on the second position information corresponding to the representative features, and output signals are generated corresponding to a difference between the first position information and the target parameters.

The present invention improves a work efficiency of an entire system for operating a plurality of working machines. An operation system of the working machine includes a work progress calculating unit 80 which calculates a work progress of a plurality of working machines or a scheduled ending time calculating unit 81 which calculates a scheduled ending time of a work by using the work progress calculated by the work progress calculating unit 80. A working machine of which an operation is switched from automatic control to remote control is determined from among the plurality of working machines by using the work progress or the scheduled ending time, and the operation system includes a centralized operation controller 43 which transmits an operation instruction to the determined working machine.

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.