An intelligent forklift and a method for detecting a pose deviation of a container are provided. The intelligent forklift includes a working state monitor, an image sensor, and a processor. The working state monitor is configured to monitor a working state of the intelligent forklift while the intelligent forklift is carrying and moving a stock container and send a trigger to the image sensor based on the working state. The image sensor is configured to capture an RGBD image frame containing the stock container in response to the trigger and to transmit the RGBD image frame to the processor. The processor is configured to receive the RGBD image frame, detect a pose deviation degree of the stock container and provide an alarm and/or a prompt based on a detection result of the pose deviation degree for adjusting the pose of the stock container.

A pallet detection device comprises: a point cloud acquisition unit configured to acquire point cloud data indicating a point cloud measured by a two-dimensional distance measurement device on a depth map; a straight line detection unit configured to detect a straight line corresponding to a front surface of a pallet based on the point cloud in a region presumed to include the front surface of the pallet in the point cloud data; a line segment detection unit configured to detect a line segment indicating the front surface of the pallet based on the straight line; and a position/orientation acquisition unit configured to acquire position and orientation of the pallet based on the line segment. The straight line detection unit acquires one or more straight line candidates as candidates for the straight line, assigns, for each of the one or more straight line candidates, a score to the point cloud so that points in front of the straight line candidate at a specified distance or more are assigned with a score with a constant whose priority in selection is lower than the rest of points, and selects the straight line from the one or more straight line candidates based on a score accumulated value obtained by accumulating the score for the point cloud in the region presumed to include the front surface of the pallet.

A hydraulic mass-determining unit arranged for determining the mass of a load held by a hydraulic fluid system, the mass-determining unit is adapted to be connected to a hydraulic pump at a first fluid connection and a hydraulic actuator of a lifting device at a second fluid connection, the mass-determining unit comprises a first pipe arranged for connecting the first fluid connection and the second fluid connection, and at least one pressure sensor arranged to measure the pressure in the first pipe, wherein the mass-determining unit further comprises a flow regulator with a pressure compensator, where the flow regulator is serially connected to the first pipe to regulate the flow in the first pipe, and one of a pressure switch arranged for measuring the pressure difference over the flow regulator, and for sending a signal to the pressure sensor to measure the pressure in the first pipe when the pressure difference is above a preset value, or a magnetic field switch that comprises a magnet attached to the pressure compensator and a detecting unit arranged for detecting whether the magnet and the pressure compensator are in an initial position, and for sending a signal to the pressure sensor to measure the pressure in the first pipe when the detecting unit detects that the pressure compensator is not in the initial position, and a processor for based on the measured pressure in the first pipe by the pressure sensor calculating a mass of the load.

A forklift truck mounted on wheels comprises a drive system and tilting lifting means, a fork (1) adapted to lift loads with the aid of two substantially parallel arms (2) carried by uprights (3) which are substantially vertical or oblique depending on the working position, said fork (1) comprising a loading stop (10) disposed on each of the uprights (3) of the fork, each stop (10) comprising a bearing face (11) for loads having a straight profile and an angled docking face (12) for loads having a circular arc profile.

Provided herein are LED warning lights and related methods for detecting oncoming traffic around corners, including in a warehouse. The warning lights have: a LED light module and an external motion sensor operably connected to the LED light module. The device is self-contained with respect to power, communication and alerts in that no other components are required, so that the warning lights are portable and readily positioned as desired and are immediately operable.

Method and apparatus for a material handling attachment being generally rectangular having left and right tubular main frame members for receiving the corresponding left and right lifting forks of a forklift truck. The tubular main frame members are supported by front and rear cross members and a floor is formed of expanded metal placed on an upper surface of the material handling attachment. The material handling attachment has a downwardly extending pad eye lifting lug at each corner for attaching a downwardly extending first strap having connecting means on its ends for attachment to a second strap which directly carries a cargo load or which passes through the opening formed in a pallet so that the pallet having heavy cargo thereon can be easily lifted using the forklift truck. The material handling attachment allows the cargo load or pallet to be lifted directly off the ground and moved about so that it can then be lowered onto the bottom floor of a cargo vehicle so that a pallet passes over the walls of the cargo vehicle.

A system and method for monitoring the dynamic load moment and stabilization of a lifting vehicle is provided. The system is adapted for monitoring the stability of the vehicle on a real-time basis, and displaying the real-time dynamic load moment of the vehicle/cargo combination on a continuous scale on a user interface. The system may also include an object detection device oriented for determining the presence or absence of a floor surface within a specified distance from the vehicle in order to detect drop-offs in the floor surface surrounding the vehicle and alert the operator of same. A method for calibrating the system is also provided. The calibration method can include a series of lift and acceleration steps for collecting static and dynamic data in order to determine one or more coefficients associated with the vehicle.

Example systems and methods are disclosed for implementing vehicle operation limits to prevent vehicle load failure during vehicle teleoperation. The method may include receiving sensor data from sensors on a vehicle that carries a load. The vehicle may be controlled by a remote control system. The load weight and dimensions may be determined based on the sensor data. In order to prevent a vehicle load failure, a forward velocity limit and an angular velocity limit may be calculated. Vehicle load failures may include the vehicle tipping over, the load tipping over, the load sliding off of the vehicle, or collisions. The vehicle carrying the load may be restricted from exceeding the forward velocity limit and/or the angular velocity limit during vehicle operation. The remote control system may display a user interface indicating to a remote operator the forward velocity limit and the angular velocity limit.

An industrial truck includes a main chassis, a transport platform to transport goods, a lifting device to raise and lower the transport platform, and a pushing device with at least one actuatable pushing arm. The pushing device displaces the goods relative to the transport platform.

Described is a simulation system for telehandlers (1) equipped with a movable operating arm (12), designed to lift and move loads (C) and stabilisers, comprising a plurality of movable stabilising arms (13, 14, 15, 16), comprising electronic processing means (2) which include:

an acquisition module (21) configured to receive at least functional parameters relating to operating conditions of the stabilising arms (13, 14, 15, 16); and
a calculation module (24) configured for determining a potential stability condition, as a function of the operating parameters; and
an output module (25) configured to provide an operator with information representing the condition of potential stability.