E02F3/437

WORK MACHINE, SYSTEM INCLUDING WORK MACHINE, AND METHOD OF CONTROLLING WORK MACHINE

A work machine capable of saving works by an operator during traveling is provided. The work machine includes a vehicular main body including a traveling unit, a work implement attached to the vehicular main body, and a controller that automatically controls operations by the work implement. The controller cancels automatic control of operations by the work implement based on a traveling state of the traveling unit.

SHOVEL AND SYSTEM
20210372079 · 2021-12-02 ·

A shovel includes a lower traveling body, an upper turning body turnably mounted on the lower traveling body, a link unit attached to the upper turning body, and a processing circuitry configured to align an end of the link unit with an end attachment to be attached.

SHOVEL, DISPLAY DEVICE FOR SHOVEL, AND CONTROL DEVICE FOR SHOVEL
20220205225 · 2022-06-30 ·

A shovel includes a lower travel body, an upper swivel body that is swingably installed on the lower travel body, an attachment that is installed on the upper swivel body, and a posture detecting device that detects a posture of the attachment, wherein a virtual plane is generated by utilizing information about a position of a predetermined portion of the attachment obtained from an output of the posture detecting device.

Augmented loader controls
11372405 · 2022-06-28 · ·

Disclosed embodiments include power machines or loaders, and systems used on loaders, configured to augment the control of the loader to accomplish repetitive tasks. Also disclosed are methods of learning a task for augmented control of a loader, and methods of controlling a loader to perform a learned task to provide augmented control of the loader.

SHOVEL

A shovel includes a lower traveling structure, an upper swing structure swingably mounted on the lower traveling structure, and a hardware processor provided on the upper swing structure. The hardware processor is configured to recognize the position of a dump truck and create a target trajectory for a dumping operation.

Work machine with jacked-up state control

A work machine includes a controller (20) that performs an area restriction control for controlling at least one hydraulic cylinder (32a) of a plurality of hydraulic cylinders (32) in such a manner that a work device (400) is located on or on an upper side of an optionally set target surface (60) during operation of an operation lever (26). In the work machine, if a jack-up angle (φ) as an inclination angle of a machine body (1A) relative to a ground is larger than a preset target value (φt), the controller, in performing the area restriction control, corrects the control of the at least one hydraulic cylinder (32a) in such a manner that the jack-up angle approaches the target value. The target value is set such as to vary according to posture of an arm (406).

SHOVEL
20220170233 · 2022-06-02 ·

The shovel includes an attachment including a boom; an arm; and a bucket, wherein the bucket includes a first part and a second part, shapes of the first and second parts being mutually different, and wherein the attachment performs, in response to an operation of the attachment, a first action or a second action, the first operation causing the attachment to activate such that the first part moves along a predetermined trajectory, and the second operation causing the attachment to activate such that the second part moves along another predetermined trajectory, and wherein the shovel is configured to switch, based on at least one from among a state of the shovel and a circumference state of the shovel, between a case where the first action is performed and a case where the second action is performed.

WORK MACHINE
20220170234 · 2022-06-02 ·

Provided is a hydraulic excavator including a controller that can control a work device by utilizing an excavation work control for causing a claw tip of a bucket to move along a predetermined target surface and a leveling work control for causing the bucket to move along the target surface while maintaining the posture of the bucket with respect to the target surface, in which: the controller, based on posture data and size data on a work device and position data on the target surface, calculates an arm tip difference Dva that is the distance from the tip of an arm to the target surface; and the controller executes the leveling work control in a case of the calculated arm tip difference being equal to or less than a predetermined threshold dv1, there being no input of a bucket operation to an operation lever, and there being an input of an arm operation to the operation lever, and otherwise executes the excavation work control.

SYSTEM AND METHOD FOR TRACKING MOTION OF LINKAGES FOR SELF-PROPELLED WORK VEHICLES IN INDEPENDENT COORDINATE FRAMES
20220170239 · 2022-06-02 ·

A system and method are provided for controlling movement of an implement for a self-propelled work vehicle, said implement comprising one or more components coupled to a main frame of the work vehicle. A linkage joint in defined in association with at least one implement component, wherein sensors are respectively associated with opposing sides of the linkage joint. Output signals from each sensor comprise sense elements which are fused in an independent coordinate frame associated at least in part with the respective linkage joint, wherein the independent coordinate frame is independent of a global navigation frame for the work vehicle. At least one joint characteristic (e.g., joint angle) is tracked based on at least a portion of the sense elements from the received output signals for each of the opposing sides of the respective linkage joint. Movement of implement components may optionally be controlled in view of the tracked joint characteristics.

Machine learning for optimizing tool path planning in autonomous earth moving vehicles

An autonomous earth moving system can select an action for an earth moving vehicle (EMV) to autonomously perform using a tool (such as an excavator bucket). The system then generates a set of candidate tool paths, each illustrating a potential path for the tool to trace as the earth moving vehicle performs the action. In some cases, the system uses an online learning model iteratively trained to determine which candidate tool path best satisfies one or more metrics measuring the success of the action. The earth moving vehicle the executes the earth moving action using the selected tool path and measures the results of the action. In some implementations, the autonomous earth moving system updates the machine learning model based on the result of the executed action.