A compact utility loader compact utility loader comprising a frame and a loader arm configured in a vertical-lift configuration. The compact utility loader additionally comprises a link pivotably secured to the loader arm and to the frame, and an actuator pivotably secured to the loader arm and to the frame. The compact utility loader further comprises a track assembly configured to maintain the loader arm in direct attachment to the frame.

A stability control system identifies an actionable condition, such as instability, in an off-road mobile machine, based upon an in-rubber tire sensor. A remedial action is identified, and a control signal is generated to control the mobile machine to take the remedial action.

Method and systems for operating a work vehicle with a selectively interchangeable implement. Image data is captured by a camera (and/or other type of optical sensor) mounted on the work vehicle. The captured image data includes at least a portion of a first implement and the implement type of the first implement is identified by processing the captured image data. Operation information correspond to the identified implement type is accessed from a non-transitory computer-readable memory and an operation of the work vehicle is automatically adjusted based on the accessed operation information for the identified implement type. In some implementations, the implement type is determined by providing the captured image data as input to an artificial neural network and, in some implementations, the artificial neural network is configured to also output an indication of a current operating position of the implement based on the captured image data.

A compact utility loader is operated by a standing operator at the rear of a frame. A loader arm assembly comprises a scissors linkage on either side of the frame nesting around the prime mover. Each scissors linkage has an upper loader arm that is pivoted at its rear end to rears ends of a pair of lower loader arms such that the pivot connections to the upper loader arm move upwardly and forwardly relative to the frame during elevation of the loader arm assembly to provide a high lift capability. The frame is self-propelled by a differential drive and steering system that is operated by dual levers. A hand grip extends between and unifies the operation of the levers to permit the operator to more easily move the levers in the ways that are needed to provide either straight motion of the frame or turns of the frame.

A method for estimating the weight of loads carried by implements may include controlling an implement subject to actual weighing conditions to lift a load and receiving an input indicative of a sensed force associated with lifting the load. The method may further include determining a correlation value indicative of a correlation between first and second force values for lifting a given load with the implement as a function of the actual weighing conditions and as a function of nominal weighing conditions, respectively, where at least one of the actual weighing conditions differs from at least one of the nominal weighing conditions. Furthermore, the method may include determining an adjusted force value for lifting the load based at least in part on the sensed force and the correlation value. Additionally, the method may include estimating the weight of the load based at least in part on the adjusted force value.

A method for estimating load weights for a work vehicle including a boom pivotably coupled to the chassis of the work vehicle at a boom joint and an implement pivotably coupled to the boom at an implement joint may include receiving an input indicative of a tilt force associated with a tilt cylinder configured to pivot the implement about the implement joint, and an input indicative of a lift force associated with a lift cylinder configured to pivot the boom about the boom joint. The method may further include determining a torque about the implement joint caused by the load based on the tilt force and determining a torque about the boom joint caused by the load based on the lift and tilt forces. Additionally, the method may include estimating a weight of the load based on the torques about the boom and implement joints.

The invention relates to a front loader (10) comprising: at least one fastening arrangement (12) connectable to a working vehicle (1); at least one loader arm (20) with a first part (21) and a second part (22) connected via a knee section (23), the first part (21) being pivotally connected to the fastening arrangement (12) at a pivot point (P1); a tool attachment (14) device connected to the second part (22) of the at least one loader arm (20); at least one tilting cylinder (16) connected to the tool attachment device (14) and to a knee link (30) arranged at the knee section (23), wherein the knee link (30) comprises a first attachment point (31) for connection with the tilting cylinder (16), a second attachment point (32) for connection with the loader arm (20), and a third attachment point (33) for connection to a mechanical self-levelling device (50), wherein the knee link (30) is arranged at the knee section (23), such that the first attachment point (31) is essentially aligned with or below an upper end (24) of the first part (21) of the loader arm (20).

Method and systems for operating a work vehicle with a selectively interchangeable implement. Image data is captured by a camera (and/or other type of optical sensor) mounted on the work vehicle. The captured image data includes at least a portion of a first implement and the implement type of the first implement is identified by processing the captured image data. Operation information correspond to the identified implement type is accessed from a non-transitory computer-readable memory and an operation of the work vehicle is automatically adjusted based on the accessed operation information for the identified implement type. In some implementations, the implement type is determined by providing the captured image data as input to an artificial neural network and, in some implementations, the artificial neural network is configured to also output an indication of a current operating position of the implement based on the captured image data.

A working machine includes a rear machine body on which an operator's seat is mounted, a front machine body to which a working tool is attached, a center shaft having a first axis extending in a fore-and-aft direction, a first supporting part supporting the center shaft rotatably relative to the rear machine body around the first axis, a coupling shaft having a second axis extending in a vertical direction and connected to the front machine body, and a second supporting part supporting the center shaft rotatably relative to the coupling shaft relative to the second axis. The first supporting part includes a first spherical plain bearing, and the first spherical plain bearing includes a first inner wheel including a convex curved sliding surface and provided on an outer circumferential surface of the center shaft, and a first outer wheel including a concave curved sliding surface and provided on the rear machine body.

A work vehicle periphery monitoring system includes: an alarm range storage unit that stores an alarm range, in which an alarm output is required when an object is present, in a detection range of an object detection device that detects an object present in a periphery of a work vehicle; a work mode determination unit that determines a work mode of the work vehicle; an alarm range changing unit that changes the alarm range in the detection range when it is determined that the work mode is a specific work mode; and an alarm control unit that causes an alarm device to output an alarm when an object is present in the alarm range.