Manufacturing of a shoe or a portion of a shoe is enhanced by executing various shoe-manufacturing processes in an automated fashion. For example, information describing a shoe part may be determined, such as an identification, an orientation, a color, a surface topography, an alignment, a size, etc. Based on the information describing the shoe part, automated shoe-manufacturing apparatuses may be instructed to apply various shoe-manufacturing processes to the shoe part.

Manufacturing and assembly of a shoe or a portion of a shoe is enhanced by automated placement and assembly of shoe parts. For example, a part-recognition system analyzes an image of a shoe part to identify the part and determine a location of the part. Once the part is identified and located, the part can be manipulated by an automated manufacturing tool.

An automatic shoe-lacing system includes a support unit for supporting a shoe upper thereon, a robotic arm unit disposed to hold an end portion of a shoelace to move along an eyelet passing path through predetermined shoelace eyelets of the shoe upper, and at least one hook unit. The hook unit has a hook disposed to hold and tense a flexible lace body of the shoelace to prevent twist of the shoelace during the shoe-lacing operation.

Manufacturing of a shoe or a portion of a shoe is enhanced by executing various shoe-manufacturing processes in an automated manner. For example, shoe parts may be retrieved and temporarily assembled according to preset relative positions to form part stacks. The part stacks may be retrieved with the relative positioning of the shoe parts being maintained and placed at a stitching machine for more permanent attachment via stitching of the parts to form a shoe assembly. Movement during stitching of a conveyance mechanism that transfers the part stack from the stacking surface to the stitching machine and movement of a needle associated with the stitching machine may be controlled by a shared control mechanism such that the movements are synchronized with respect to one another. Vision systems may be leveraged to achieve movement and position information between and at machines and locations.

An automatic lacing mechanism automatically laces between two shoe pieces, and includes a clamping module, a positioning module, a shoelace-running module, and a shoelace-arranging module. The clamping module is adapted to fixedly clamp shoe pieces. The positioning module is adapted to position the shoe pieces prior to the shoe pieces are fixedly clamped, so that the clamping module could firmly clamp the shoe pieces. The shoelace-running module is adapted to run the shoelace through the lace eyelets on the shoe pieces. The shoelace-arranging module is adapted to change the direction of the shoelace during lacing. The positioning module has two positioning pins, wherein a distance therebetween is adjustable, and therefore the positioning module is suitable for the positioning of footwear having different distances between its lace eyelets, which could make the automatic lacing process smoother.

Manufacturing of a shoe or a portion of a shoe is enhanced by executing various shoe-manufacturing processes in an automated fashion. For example, information describing a shoe part may be determined, such as an identification, an orientation, a color, a surface topography, an alignment, a size, etc. Based on the information describing the shoe part, automated shoe-manufacturing apparatuses may be instructed to apply various shoe-manufacturing processes to the shoe part.

Manufacturing and assembly of a shoe or a portion of a shoe is enhanced by automated placement and assembly of shoe parts. For example, a part-recognition system analyzes an image of a shoe part to identify the part and determine a location of the part. Once the part is identified and located, the part can be manipulated by an automated manufacturing tool.

A gaging apparatus and method for automation of a shoemaking process are provided for automating a shoemaking process. According to the method, the gaging apparatus obtains operation data according to the gaging process of drawing a gaging line on a boundary between the upper and the sole for shoe manufacturing, and generates trajectory data for the boundary based on the operation data. Based on the trajectory data, the gaging apparatus generates robot trajectory data for performing a buffing and bonding process after the gaging process and transmits it to a shoemaking robot.

According to examples, machine-readable instructions in a computer-readable medium may cause a processor to generate code representing a cavity to be formed in an object, generate code representing a first lattice structure to be formed in the object directly above the cavity, and generate code representing a second lattice structure to be formed in the object in an area adjacent to the first lattice structure, in which the first lattice structure may be stiffer than the second lattice structure. In addition, the processor may output the generated codes, in which a three-dimensional (3D) fabrication system may fabricate the object according to the generated codes.

An article of sports apparel such as an outsole for a shoe may be formed based on a computational traction profile. The computational traction profile is built based on received sensor data, such as that obtained by a frustrated total internal reflection (FTIR) system having a surface on which an individual may perform a movement. The sensor data is obtained while a different article of sports apparel of the same type is worn by the person during an activity. The sensor data may be used to alter a visual outsole pattern, traction features such as projections or recesses, for example. One or more of the position, height, cross-sectional shape, and the like of the respective projections and recesses may be varied along the surface of the outsole in response to the computational traction profile.