A human-robot cooperation (HRC) workstation has a programmable industrial robot (4) and a manual working area (14) for a worker (5) in a region surrounding the industrial robot (4). In the HRC workstation (1), the working areas of the industrial robot (4) and the worker (5) overlap. Contact between the worker (5) and the industrial robot (4) is possible. The workstation (1) is divided into a plurality of different zones (17, 18, 19, 20) having differently high levels of risk of hazard from the industrial robot (4) for the worker (5). The industrial robot (4) is suitable for human-robot cooperation.

An Internet of things (IoT) network for managing assembly of a multi-part product in a production environment. A user wears a device that provides a hands-free display of assembly instructions while the user is assembling the product. The user also wears sensors for transmitting data about the user's location within the production environment. Point of assembly sensors are disposed at locations within the production environment for transmitting data regarding where the product is and should be assembled. The product's parts also include sensors that transmit data regarding location of the parts and how they are assembled. A backend computer system stores product assembly information including the assembly instructions, where the user should be to assemble the product, how the product should be assembled, and verification of assembly accuracy. Alerts are generated if information from the sensors does not corresponding with the preprogrammed information in the computer system.

A digital material skin is made of a set of discrete units with a finite set of parts and joints. The discrete units are assembled into a layer according to a regular geometry, with each of the discrete units being reversibly connected to at least one other unit in the set. The reversibly connected set of units forms an exterior structure surface that is larger than the individual discrete units. Digital material skins may be used to construct any shape or interior volume, whether regular or amorphous. The skin surface may be enclosed or open. The skin may rely on an interior digital material structure for support or may be self-supported. The skin may be part of a larger assembly or apparatus, enclosing an interior volume or structure.

A cooperation robot for moving a bumper to a predetermined position of a vehicle in a vehicle production system includes: a multi-axis arm, a front end portion of which is connected to and a rear end portion of which is connected to a robot body so that the multi-axis arm is movably disposed to upper, lower, left and right sides on the basis of the robot body. The multi-axis arm is disposed to rotate the gripper. A force torque (FT) sensor is disposed between the multi-axis arm and the gripper and detects a direction of external force which is applied to the gripper and the bumper gripped by the gripper. An operator controls the multi-axis arm so that positions of the gripper and the bumper vary. A controller controls the operator according to the direction of the external force detected by the FT sensor when the multi-axis arm is in a stand-by condition to move the gripper in the direction the external force.

A workpiece having at least one physical feature is placed into a workstation fixture having at least one adjustable locator. Measurement data reflecting the position of the at least one physical feature of the workpiece and measurement data reflecting the position of the at least one adjustable locator are obtained. A processor ingests and utilizes the collection of assembly data and the measurement data to define and store in memory at least one ordered pair correlating the physical feature and the adjustable locator. The processor defines a test vector that connects the position of the at least one physical feature and the position of the at least one adjustable locator. The processor to computationally discovers a best fit for adjusting the position of the adjustable locator to register with the physical feature by applying to the test vector a computational optimization process that seeks to minimize the length of the test vector to thereby generate a digital shim vector. The adjustable locator is then physically moved according to the digital shim vector, which is stored in association with the collection of assembly data.

A robotic tool is positioned relative to a feature of a component during a manufacturing process. The tool may be used to perform a manufacturing operation on the component. The tool is also be used to dispose a fiducial mark with a known registration to the feature, even if the feature is subsequently obscured. The position of tools for subsequent manufacturing operations are then set relative to the fiducial mark.

Workpieces are placed in the workstation so one is in registration with a fixed locator. Measurement data are obtained reflecting the positions of the respective features of the workpieces and represented in a common reference frame associated with the fixed locator. A processor uses the collection of assembly data and the measurement data to define and store ordered pairs of mating feature locations. The pairs are then reoriented using a computationally discovered best fit. The position of a feature demarked for registration with the adjustable locator is calculated and the adjustable locator is caused to move to the calculated position of the feature demarked for registration thereby establishing a best fit orientation of the mating workpieces in physical space. The mating workpieces are then positioned in said best fit orientation by registration with said fixed and adjustable locators and then mechanically joining the mating workpieces.

A vehicle coupling system includes a first vehicle, a second vehicle, and a tow bar. The first vehicle includes a drive motor configured to propel the first vehicle and a lifting implement configured to support a product for movement. The second vehicle includes a lifting implement configured to support the product for movement. The tow bar is coupled to the first vehicle at a first end of the tow bar and coupled to the second vehicle at a second end of the tow bar opposite the first end. Responsive to the drive motor propelling the first vehicle, the tow bar exerts a force on the second vehicle to maintain a space between the second vehicle and the first vehicle.

A vehicle includes a chassis, a frame, a tractive element, a drive motor, and a cart interface. The cart interface includes a base frame coupled to the frame assembly of the vehicle, and a first and second pin assembly. The first and second pin assembly each include first pin configured to engage a cart and a actuator configured to raise the pin relative to the frame. The first pin assembly also includes a first linear actuator configured to bias the first pin relative to the first linear actuator and to permit relative movement between the first pin and first linear actuator. The cart interface includes a first actuator to reposition the first pin independently of the second pin and is configured to hold the pin in either of a lowered position, a raised position above a lowered position and an intermediate position between the raised and lowered positions.

A vehicle includes a frame, a drivetrain coupled to the frame, a base assembly coupled to the frame, and a lifting implement coupled to and supported on the base assembly. The lifting implement includes a platform, a cradle rotatably coupled to and supported on the platform so that the cradle, a scissor assembly coupled between the platform and the base assembly, and a lift actuator coupled between the base assembly and the scissor assembly. The lift actuator is configured to selectively raise the cradle relative to the base assembly. The lift actuator is a multi-stage telescoping actuator that includes a base stage, an intermediate stage, and an outer stage. The base stage is coupled to the base assembly, the outer stage is coupled to the scissor assembly, and the intermediate stage is arranged between the base stage and the outer stage.