A first work machine includes a work implement. A method of controlling the first work machine includes acquiring a traveling state of the first work machine that is performing work with the work implement while traveling on a first work path, determining whether the first work machine is deviating from the first work path based on the traveling state, and stopping travel of the first work machine upon determining that the first work machine is deviating from the first work path.

An autonomous machine control system is disclosed. The autonomous machine control system may include a controller configured to: cause an initiation of an autonomous mode of a machine, the autonomous mode providing automatic control of a propulsion operation, a steering operation, and a work operation of the machine; determine that automatic control of the work operation is to be disabled in the autonomous mode of the machine; and cause automatic control of the work operation to be disabled in the autonomous mode of the machine, while automatic control of the propulsion operation and the steering operation is enabled in the autonomous mode of the machine.

A system and method for guiding an implement on a machine to a target location is disclosed. The system comprises a GUI and a controller in operable communication with the GUI. The controller is configured to: (a) determine a current location of the implement relative to the target location on the work surface; and (b) display on the GUI a symbol in one of a plurality of states, each state associated with one or more locations of the implement relative to the target location. The state in which the symbol is displayed is indicative of the current location of the implement relative to the target location and each state is identified by at least one illuminated portion of the symbol. The controller is further configured to: (c) repeat (a) and (b) each time the implement is moved to a new current location.

This disclosure concerns a graphical display (400) of operational data of a moving mining machine (140). A processor (114) receives terrain information (300) and operational data (500) of the mining machine (140). The operational data (500) is based on the response of the mining machine (140) to terrain variations at the respective geographical locations. The processor (114) generates a display comprising a terrain image (402) and a graphical trail (406) representing the travel path on the terrain image (402) based on the operational data. The appearance of the trail (406) is variable along the trail and based on variations in the operational data. The trail (406) in the display (400) is aligned with the terrain image (402) and a user of the display can visually correlate a change in operational data with a geographical location in the terrain.

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 system for generating a work plan for autonomous operation of a compactor in tandem with an earthmoving machine includes a first controller that receives information pertaining to a work area on which the earthmoving machine is required to perform at least one operation. The system also includes a central controller that receives, from the first controller, information pertaining to the work area on which the earthmoving machine is required to perform the at least one operation and analyzes the work area for virtually segmenting the work area into a plurality of virtual work areas. The central controller also receives, from the first controller, data indicative of a movement of the earthmoving machine through each virtual work area from the plurality of virtual work areas and determines an optimal direction of movement for the compactor based on the data indicative of the movement of the earthmoving machine.

A controller obtains topographical data indicative of the topography of a work site. The controller obtains material data indicative of the position of a material. The controller computes an evaluation function based on the material data for each of a plurality of candidates of the travel path to be decided from the topographical data. The evaluation function includes a material function pertaining to an amount of the material. The controller decides a candidate having a smallest evaluation function of the plurality of candidates as the travel path.

A method for remote operation of machines using a mobile device is disclosed. The mobile device may detect and display one or more machines. The mobile device may establish a wireless connection with a machine. The mobile device may retrieve and display machine related information including one or more machine parameters, one or more implements, and one or more controls of the machine. In addition, the mobile device may transmit input commands received from an operator via the controls to the machine. The machine may be configured to establish the wireless connection with the mobile device and broadcast machine related information to the mobile device. The machine may also execute the input commands received from the mobile device and perform one or more functions. The method includes steps performed by the mobile device and the machine for the remote operation respectively.

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.

The disclosed technology relates to an intelligent motion control system that utilizes onboard sensors and processing to guide a surface manipulation machine along a path of travel on a surface, confirm a position of the machine with respect to the surface, and actuate a surface manipulation tool to achieve a desired surface profile or locate a point of interest. The system may include a first and second surface profiler that is configured to scan a surface on which the system travels and a positional sensor configured to generate positional data representing a position of the machine. The processor is configured to generate topography data based on output received from the first surface profiler, generate intermediate data based on output received from the second profiler, compare the intermediate data with the topography data to calculate an offset; and control motion of the system based on the offset.