A milling machine has a frame, ground engaging tracks that support the frame, a first actuator connecting the frame to a first track of the ground engaging tracks and a second actuator connecting the frame to a second track from the ground engaging tracks. The milling machine has an orientation sensor that determines an orientation of the frame. The milling machine has a controller that operates the first and second actuators to raise or lower the frame. The controller determines the frame orientation using the orientation sensor. The controller also determines a velocity error between actuator velocities of the first and second actuators based on the frame orientation and a target orientation of the frame. The controller determines a control parameter for the second actuator based on the velocity error and operates the second actuator using the determined control parameter.

Disclosed is a detection device. The detection device may include: an acquisition unit for acquiring posture information of a work implement having at least one of a bucket, an arm, and a boom of construction equipment; and a first communication unit for wirelessly transmitting the posture information to an interface unit on which level information of the work implement is displayed.

Provided is a waterproof structure to prevent water ingress through an air hole in a casing of a communication device. A waterproof structure for a communication device, the communication device including a casing that houses an electronic substrate and has an air hole, includes a plate member facing the casing and attached to the casing such that the plate member covers the air hole, and a sealing member interposed between the plate member and the casing to prevent ingress of water into the air hole through a gap between the plate member and the casing.

A hydraulic excavator includes a computer-aided construction controller for performing machine control to operate a front work implement based on detected results from posture sensors and predetermined conditions. The computer-aided construction controller has a calibration posture storing section that stores at least one predetermined calibration posture of the front work implement for calibrating the posture sensors, and a calibration posture controlling section that carries out the machine control to inactivate the hydraulic actuators if detection target values of the posture sensors in the calibration posture and the detected results from the posture sensors are equal to each other. The time required for calibration can thus be shortened by increasing the operability for adjusting a calibration posture.

A power machine can include operator input devices and a control system configured to command movement of actuators based on operator inputs received from the operator input devices. Movement of one or more of the actuators can be commanded based on input at one or more of the operator input devices and a response curve selected from a plurality of different response curves. Movement of one or more of the actuators can be based on a selected control mode for the power machine that corresponds to a selected control-function mapping of the operator input devices to the one or more actuators. A lift arm can be variously controlled to execute automatic or other operations. An excavator can be operated in a sustained-speed travel mode. Actuation of a bucket or other implement can be implemented based on signals from a material sensor.

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 power machine can include a frame, a lift arm, and one or more electrical devices for control of one or more work elements. The electrical devices can be controlled to improve positional accuracy for work elements during work operations, to improve power management and customer experience (e.g., to provide smoother ride during drive operations), and to provide float functionality for work elements.

Systems and methods for monitoring an attachment, such as a breaker head, for a mining machine. The system includes a breaker head, a wireless identification tag, a sensor, and an electronic processor. The wireless identification tag is coupled to the breaker head and includes a tag memory storing an identifier of the breaker head and an antenna. The sensor is configured to generate measurement data associated with the breaker head. The electronic processor is configured to receive measurement data from the sensor, generate a notification based on the measurement data, and transmit the notification to the wireless identification tag. Additionally, the wireless identification tag is configured to store the notification. The notification can then be later retrieved from the wireless identification tag by various devices, such as a further mining machine or a reader device of maintenance personnel.

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.