Patent classifications
B66F9/063
UNMANNED FORKLIFT
An image obtaining section obtains a taken image from an imaging device. A pallet type identification section has a learning model for combinations of images of a plurality of types of pallets and types of the pallets, and identifies a type of a target pallet by inputting, to the learning model, the taken image of the target pallet, which is obtained by the image obtaining section. A pallet position/shape obtaining section obtains position/shape data of the target pallet from a distance measuring device for measuring a distance to the target pallet. A pallet deviation detection section previously stores position/shape data of the pallets and performs comparison between the stored position/shape data corresponding to the identified type of the target pallet and the position/shape data of the target pallet.
HANDLING ROBOT
A method for retrieving an inventory item based on a handling robot, where the handling robot includes: a storage frame; and a material handling device installed on the storage frame, and including a telescopic arm and a manipulator installed to the telescopic arm; and the method for retrieving an inventory item includes: driving, by the telescopic arm, the manipulator to extend to a preset position of warehouse shelf along a preset horizontal reference line; loading, by the manipulator that is remained on the reference line, the inventory item located in the preset position; driving, by the telescopic arm, the manipulator loaded with the inventory item to move to the storage frame along the reference line; and unloading, by the manipulator that is remained on the reference line, the inventory item to the storage frame.
Load handling module for a material handling vehicle
A load handling module for a material handling vehicle can include a first camera configured to determine the position of an object in a first camera field of view, and a second camera positioned above the first camera and configured to determine the position of an object in a second camera field of view. A fork tip sensor can be secured to at least one fork proximate the tip end thereof, and can be configured to detect the presence of an object within a fork sensor field of view extending in front of the fork. A controller can be in communication with the first sensor, the second sensor, and the fork tip sensor, the controller being configured to autonomously control the material handling vehicle to pick up or drop-off a load.
Manual pallet jack hitch and related systems and methods
The various embodiments disclosed herein relate to an interchangeable hitch mechanism that is coupleable to a pusher device. Other implementations relate to a pusher device having such an interchangeable hitch mechanism that can be removably coupleable to a manual jack pallet.
Drive unit with interface to mount and identify multiple different payload structures
A drive unit of a robotic vehicle including a top surface having a mounting interface to interchangeably couple with multiple different modular payload structures configured to transport items in a facility, workspace or inventory management environment. The mounting interface is configured to securely engage with a mounting portion of the variety of different payload structures to enable a versatile exchange of the payload structure for different conveyance applications. The drive unit includes an electrical interface to communicatively couple with the modular payload structures. The drive unit is configured to use data communicated via the electrical coupling and interface to identify a type of modular payload structure that is mechanically coupled to the mounting interface and implement a motion profile (e.g., speed and acceleration parameters) associated with the identified modular payload structure.
Autonomous robots performing concerted operation based on shared sensory access and holistic flow of information
Increased robotic sophistication and more efficient autonomous operation is implemented by providing separate physical autonomous robots shared and remote access to the sensory array and information from the sensory array of one another. Each robot can access a sensor of any other robot, or scans or other information obtained from the sensor of any other robot. The robots leverage the shared sensory access in order to perform batch order fulfillment, dynamic rearrangement of item or tote locations, and opportunistic charging. These coordinated robotic operations based on the shared sensory access increase the efficiency and productivity of the robots without adding resources or hardware to the robots, increasing the speed of the robots, or increasing the number of deployed robots.
Moving body, station, movement system, moving method, and program
To make it possible to freely move a moving body between level surfaces located at different heights that are not connected by a vertical member. A moving body includes a movable moving part, an expansion/contraction part disposed in the moving part and configured to expand and contract in a vertical direction, a first engagement part disposed at a tip of the expansion/contraction part and configured to engage with a member located in a surrounding environment, and a control unit configured to control the moving part and the expansion/contraction part. The control unit moves the moving part to a target height position by engaging the first engagement part with a member located at the target height position and then expanding or contracting the expansion/contraction part.
DRIVERLESS TRANSPORT DEVICE AND DRIVERLESS TRANSPORT SYSTEM FOR TRANSPORTING OBJECTS, AND METHOD FOR OPERATING A DRIVERLESS TRANSPORT DEVICE AND A DRIVERLESS TRANSPORT SYSTEM FOR TRANSPORTING OBJECTS
The present invention relates to a driverless transport device (10) for transporting objects (38), comprising a support structure (12) with an outer contour (14), a chassis (16) fastened to the support structure (12) having at least a first wheel (18) and a second wheel (20), wherein the first wheel (18) is rotatably mounted in the chassis (16) about a first axis of rotation (D1) and the second wheel (20) is rotatably mounted in the chassis (16) about a second axis of rotation (D2), a drive unit (22) with which the first wheel (18) and the second wheel (20) can be driven independently of each other, and an expanding unit (98) with at least one expanding arm (100), wherein expanding arms (100) are adjustable by means of an adjustment unit (106) between a first position, in which the expanding arms (100) are located within the outer contour (14), and a second position, in which the expanding arms (100) project at least partially beyond the outer contour (14). Furthermore, the invention relates to a driverless transport system (81), comprising a plurality of such driverless transport devices (10).
Self leveling autonomous guided vehicle
An autonomous guided vehicle comprising a platform adapted to carry a load thereon in a working position; a plurality of suspension devices connected to the platform, each suspension device having a sensor and an actuator; and a plurality of wheels associated with the suspension devices; wherein a first wheel is associated with a first suspension device such that the sensor of the first suspension device is adapted to provide a signal when a relative position of the first wheel and the platform is altered.
Scenario Discriminative Hybrid Motion Control for Mobile Robots
Scenario discriminative hybrid motion control for robots and methods of use are disclosed herein. A method may include determining a number of objects in a space, determining when a goal is within the space, and selectively switching between a plurality of control schemes based on the number of objects in the space and whether the goal is within the space. The plurality of control schemes including a model predictive control scheme, a simplified model predictive control scheme, and a proportional-integral-derivative scheme. Selectively switching between the plurality of control schemes reduces power consumption of an automated system compared to when the automated system utilizes only the model predictive control scheme.