A shovel enabled to set an engine revolution speed to revolution speeds including a revolution speed for a running operation and a revolution speed for an idling running operation that is lower than the revolution speed for the running operation includes an engine provided as a driving source of the shovel, an operating part configured to be driven by a driving force of the engine, an operation component configured to operate the operating part, a detecting device configured to detect a position of a movable portion of an operator and a position of the operation component, an operation determining part configured to determine a positional relationship between the movable portion and the operation component, and a control part configured to set the engine revolution speed of the engine based on the positional relationship between the movable portion and the operation component that is determined by the operation determining part.

A quick coupler for coupling a tool such as an excavator bucket, a clamshell grapple or demolition shears to a tool operator such as an excavator arm or the like. The quick coupler including a coupling mount for receiving a first locking part and a locking mount for receiving a second locking part, wherein a locking element for locking the second locking part in the locking mount is at least associated with the locking mount, with the locking element being actuable by an adjustment actuator. The quick coupler can be electrically controllable, with the quick coupler having an electric drive for actuating the adjustment actuator for the locking element.

A shovel includes a lower traveling body, an upper turning body turnably mounted on the lower traveling body, a cab mounted on the upper turning body, a display device provided in the cab and configured to display a setting screen associated with work assistance, an audio input device provided in the cab, and a hardware processor configured to perform audio recognition. The hardware processor is configured to recognize speech input through the audio input device and executes a process related to the setting screen according to a recognition result.

A shovel includes a lower traveling body, an upper turning body turnably mounted on the lower traveling body, a cab mounted on the upper turning body, a display device provided in the cab and configured to display a setting screen associated with work assistance, an audio input device provided in the cab, and a hardware processor configured to perform audio recognition. The hardware processor is configured to recognize speech input through the audio input device and executes a process related to the setting screen according to a recognition result.

Embodiments of the present disclosure relate to a three-dimensional reconstruction method and apparatus for a material pile, an electronic device, and a computer-readable medium. The method may include: acquiring, in response to an instruction for controlling an excavator body of an excavator to rotate to transport materials being detected, a sequence of depth images of an excavated material pile collected by a binocular camera provided on a side of the excavator; and performing three-dimensional reconstruction based on the sequence of depth images of the material pile, to generate a three-dimensional model of the material pile.

Embodiments of the present disclosure relate to a three-dimensional reconstruction method and apparatus for a material pile, an electronic device, and a computer-readable medium. The method may include: acquiring, in response to an instruction for controlling an excavator body of an excavator to rotate to transport materials being detected, a sequence of depth images of an excavated material pile collected by a binocular camera provided on a side of the excavator; and performing three-dimensional reconstruction based on the sequence of depth images of the material pile, to generate a three-dimensional model of the material pile.

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 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 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 machine control system can store model weights determined via machine learning using a training dataset correlating preset hydraulic valve displacements to measured movement parameters of a machine component. The machine control system can receive an input command for the component and machine state data from machine sensors. A control mapping model can use the model weights to map a combination of the input command and the machine state data into a predicted displacement of the hydraulic valve that causes movement of the component in response to the input command.