Process for clearing an autonomous machine including first evaluating operation at a high curvature offline location. Following acceptable operation, the machine is placed into service and evaluated at a worksite. Following acceptable worksite operation, online operating speed of the machine is increased incrementally, and performance reevaluated. Following acceptable performance characteristics, online operating speed of the machine continues to be increased and revaluated until the machine reaches maximum designated operating speed, or is evaluated as unacceptable, in which case the machine continues to operate at the last acceptable online operating speed and identifies the unacceptable performance characteristic for further evaluation.

There is provided a server and a system capable of enabling an operator of a remote operating device to recognize which remote operating device remotely operates a work machine displayed on an output interface constituting the remote operating device. For example, a first work environment image indicating a situation of a work site acquired through an image pickup device 412 loaded on a work machine 40 is outputted on an output interface 220 constituting each of a plurality of remote operating devices 20.

A travel processing unit causes a work vehicle to travel manually on the basis of an operator's manual travel operation. A route-generation processing unit generates a target route, which is a route for the work vehicle to travel automatically, when the operator's route-generation instruction operation to the operation unit is accepted while the work vehicle is traveling manually. A travel processing unit causes the work vehicle to travel automatically along the target route when the operator's automatic-travel start operation to the operation unit is accepted after the route-generation instruction operation.

A system capable of improving accuracy of information relating to the degree of instability of a work machine such as an excavator, the information being provided to an operator of the work machine. Instability degree information, which indicates instability degrees Is1, Is2 of a base body (lower traveling body 410 and upper turning body 420) for which instability values have been assessed as continuous variables, is output to a remote image output device 221 (information output device) such that the form of the output varies continuously depending on continuous changes in the instability degrees Is1, Is2. An operator of a work machine 40 can highly accurately recognize the closeness of the current instability degree of the base body to a threshold value at which the base body becomes unstable, and consequently a tolerable range in which the work mechanism, etc. are operated while avoiding instability of the base body.

A device may receive machine data indicating a pose of one or more components of a machine. The machine data may be generated based on first data from one or more first sensor devices associated with the machine. The device may generate validation data to validate the machine data. The validation data may be generated based on second data from a second set of sensor devices. The device may perform a comparison of the machine data and the validation data and determine, based the comparison, whether the machine data is validated or not validated. The device may selectively control an operation of the machine based on the machine data. Based on determining that the machine data is validated, the operation may be controlled based on the machine data. The operation may be controlled without the machine data based on determining that the machine data is not validated.

The present disclosure relates generally to techniques for the kinematic estimation and dynamic behavior estimation of autonomous heavy equipment or vehicles to improve navigation, digging and material carrying tasks at various industrial work sites. Particularly, aspects of the present disclosure are directed to obtaining a set of sensor data providing a representation of operation of an autonomous vehicle in a worksite environment, estimating, by a trained model comprising a Gaussian process, a set of output data based on the set of sensor data, controlling an operation of the autonomous vehicle in the worksite environment using input data derived from the set of sensor data and the set of output data, obtaining actual output data from the operation of the autonomous vehicle in the worksite environment, and updating the trained model with the input data and the actual output data.

Provided is a work machine and the like that can reduce the possibility of contact with an unmanned aircraft flying around. The degree of possibility of contact between a working mechanism (140) and an unmanned aircraft (40) is recognized on the basis of the relative position of the unmanned aircraft (40) with reference to the working mechanism (140). If it is recognized that the contact possibility is high, then the operation mode of at least one of a lower traveling body (110), an upper pivoting body (120), and the working mechanism (140) is controlled so as to reduce the contact possibility.

A method for changing an orientation of a machine at a worksite includes controlling, by a controller, a movement of the machine from a first position to a second position along a first route; controlling, by the controller, a movement of the machine from the second position to a third position along a second route; and controlling, by the controller, a movement of the machine from the third position towards the first position along a third route, Each of the first route, the second route, and the third route define respective apexes and combinedly define a region therebetween. One or more of the apexes are directed inwards into the region.

A shovel management device includes a training part to determine a relationship between operation data of the shovel and an abnormality of the shovel by using, as training data, a data set that includes, among the operation data indicating the operation of the shovel, the operation data corresponding to a period for determining a presence or absence of the abnormality of the shovel as an input and information indicating the absence of the abnormality as an output.

A retrofit kit for a power machine can include a detection module configured to be removably secured to the power machine to detect objects around the power machine. A control module can be configured to receive detected object data from the detection module and control the display module based on the detected object data to provide one or more indicators of an object detected by the detection module.