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Robotics Case Studies

Peripherals: Inspection

Katayama American Company Automates In-Line Measurement

POSTED: 01/20/2010

Problem: Katayama American Company, Inc. (KACI) came to Dynalog with the following challenge:  Integrate a robot from Motoman and 3D sensor from LMI to perform 100% in-line inspection of up to 12 features on each of the

Fully Automated Inspection for Surgical Implants

POSTED: 04/18/2008

100% inspection and identification is essential for most products. Low-volume production often goes hand-in-hand with high costs, particularly if the variety of products concerned is also extensive. DePuy Spine (a Johnson and Johnson company based in

Surround and Diversion by a Squad of Mobile Robotic Vehicles

POSTED:

Cooperating squads of robotic vehicles may some day be employed for tasks such as fighting forest fires, cleaning up oil spills, delivering and distributing supplies to remote field operations and conducting a variety of military missions. Control and coordination of groups or squads of robots has thus

Automated Injection Molding Operation

POSTED:

Problem: Customer builds electronic components for the automotive industry. They had only 30 seconds to unload molded circuit plates from a four cavity mold, inspect each cavity to ensure that no debris was left behind, load a new insert into each cavity and inspect each insert for proper location

Rapid Design and Deployment of Special-Purpose Automated Product Inspection Systems

POSTED:

Sandia's Intelligent Systems and Robotics Center (ISRC) has proven its capability to develop and deploy automated inspection stations. ISRC designers meet with customers to compile a list of requirements, specifications, and hardware and software needs. From those requirements, a cost-effective system is developed to meet their special

Epson Automated Inspection Cell

POSTED:

Problem: A Tier 1 automotive supplier needed to prevent the accidental shipment of defective parts to their customers. Traditional methods had operators inspecting parts; separating known good parts from known defective


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