A layered approach uses two cameras, a supervisory program, a robot controller, and a custom compensating gripper.
A layered approach uses two cameras, a supervisory program, a robot controller, and a custom compensating gripper.
Vision-guided robots are used widely in the automotive industry in structured applications such as paint dispensing, welding, and assembly. Traditionally, these applications use either hard fixtures and/or material-handling equipment to singulate or orientate a part or assembly before it reaches the robot to create a repeatable and controlled environment. Even in tightly controlled environments, however, robots often require a machine-vision system to fine-tune robot guidance when picking up and locating parts in complex applications, such as autoracking.