A first characteristic portion of a first workpiece and a second characteristic portion of a second workpiece are previously determined. A characteristic amount detection unit detects a first characteristic amount related to the position of the first characteristic portion and a second characteristic amount related to the position of the second characteristic portion in an image captured by a camera. A calculation unit calculates, as a relative position amount, the difference between the first characteristic amount and the second characteristic amount. A command generation unit generates a movement command for operating a robot based on a relative position amount in the image captured by the camera and a relative position amount in a predetermined reference image.

Accuracy in interference determination between a hand gripping a workpiece and nearby objects is increased. An information processing apparatus includes a measuring unit configured to decide an object to be gripped among a plurality of objects on the basis of a first image of the imaged objects, a specifying unit configured to specify an attention area for determining, when a gripping device grips the object to be gripped, whether the gripping device interferes with objects near the object to be gripped, a controller configured to change an imaging range of an imaging device on the basis of the attention area, and a determination unit configured to determine, when the gripping device grips the object to be gripped, whether the gripping device interferes with the objects near the object to be gripped on the basis of a second image of an object imaged in a changed imaging range.

There is provided an information processing apparatus to estimate a position of a distal end of a movable unit with a reduced processing load, the information processing including a position computer that computes, on the basis of first positional information obtained from reading of a projected marker by a first visual sensor and second positional information including positional information obtained from reading of the marker by a second visual sensor that moves relative to the first visual sensor, a position of a movable unit in which the second visual sensor is disposed. This makes it possible to estimate the position of the distal end of the movable unit with a reduced processing load.

A method for operating a robotic system includes determining a discretized object model based on source sensor data; comparing the discretized object model to a packing plan or to master data; determining a discretized platform model based on destination sensor data; determining height measures based on the destination sensor data; comparing the discretized platform model and/or the height measures to an expected platform model and/or expected height measures; and determining one or more errors by (i) determining at least one source matching error by identifying one or more disparities between (a) the discretized object model and (b) the packing plan or the master data or (ii) determining at least one destination matching error by identifying one or more disparities between (a) the discretized platform model or the height measures and (b) the expected platform model or the expected height measures, respectively.

Methods and systems for controlling a snake-arm robot. In an embodiment, a server computer receives real-time image data associated with at least one of an operating environment and a location of a workpiece from an optical sensor mounted on a robot head of a snake-arm robot, and receives, input data describing a desired pose of the robot head from a user device. The server computer then computes a desired velocity of the robot head using an image Jacobian, translates the desired velocity of the robot head into incremental displacement data and rotation data within a control cycle, computes a position of each of a plurality of links comprising a snake-arm of the snake-arm robot to follow motion of the robot head, computes a current position of each of the plurality of links utilizing a forward dynamics model, and computes force and torque data required to move at least one of a plurality of joints connecting the links to move the snake-arm robot to the desired pose. The method also includes generating movement instructions based on the force and torque data, and transmitting the movement instructions to at least one of a drive motor associated with an introduction device and a plurality of controllers associated with servo-motors operably connected to joints connecting the links of the snake arm causing the robot head to move to the desired pose.

An absolute robot-assisted positioning method is provided which can be performed by a facility. The method optimises an assembly task which has been created theoretically at a computer workstation and which is implemented in reality by the facility. The disclosed facility includes at least one robot, at least one measurement system and a computer, wherein the at least one measurement system monitors the at least one robot while the assembly task is being performed, and the robot and the measurement system are connected to each other via the computer.

A tool path for treating a shoe upper may be generated to treat substantially only the surface of the shoe bounded by a bite line. The bite line may be defined to correspond to the junction of the shoe upper and a shoe bottom unit. Bite line data and three-dimensional profile data representing at least a portion of a surface of a shoe upper bounded by a bite line may be utilized in combination to generate a tool path for processing the surface of the upper, such as automated application of adhesive to the surface of a lasted upper bounded by a bite line.

A method for operating a robotic system includes determining a discretized object model based on source sensor data; comparing the discretized object model to a packing plan or to master data; determining a discretized platform model based on destination sensor data; determining height measures based on the destination sensor data; comparing the discretized platform model and/or the height measures to an expected platform model and/or expected height measures; and determining one or more errors by (i) determining at least one source matching error by identifying one or more disparities between (a) the discretized object model and (b) the packing plan or the master data or (ii) determining at least one destination matching error by identifying one or more disparities between (a) the discretized platform model or the height measures and (b) the expected platform model or the expected height measures, respectively.

Manufacturing of a shoe is enhanced by creating 3-D models of shoe parts. For example, a laser beam may be projected onto a shoe-part surface, such that a projected laser line appears on the shoe part. An image of the projected laser line may be analyzed to determine coordinate information, which may be converted into geometric coordinate values usable to create a 3-D model of the shoe part. Once a 3-D model is known and is converted to a coordinate system recognized by shoe-manufacturing tools, certain manufacturing steps may be automated.

A tool path for treating a shoe upper may be generated to treat substantially only the surface of the shoe bounded by a bite line. The bite line may be defined to correspond to the junction of the shoe upper and a shoe bottom unit. Bite line data and three-dimensional profile data representing at least a portion of a surface of a shoe upper bounded by a bite line may be utilized in combination to generate a tool path for processing the surface of the upper, such as automated application of adhesive to the surface of a lasted upper bounded by a bite line.