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My Robot Colleague Has It All Under Control

The SafeMate research project, funded by the German Federal Ministry of Education and Research (BMBF) in the “Innovations for the Production, Service and Work of Tomorrow” program, strategies and concepts were developed for the introduction and design of collaborative assembly workplaces.

FANUC America Expands Michigan Campus

FANUC America, a leading supplier of CNCs, robotics and ROBOMACHINEs, announced a West Campus expansion that will push its operational space in Oakland County, Michigan to nearly two million square feet.

Medical Machining Shifts Into High Gear—With a Laser Assist

Constant refinement of medical machining from tooling design to finished product requires not only the ability to handle a broad range of plastic and metal materials but also to achieve predictable results—particularly in the face of strict regulations.

Optical Metrology in Three Dimensions

Basic trends in modern manufacturing are driving growth in 3D optical metrology. “One is the highly complex and high-tech material that manufacturers are using today. For example, in the aerospace turbine blade market, they simply cannot touch the part like they used to—the surface finish of the material is too readily affected by any kind of contact metrology."

Detroit Tigers: Reverse-Engineered World Series Trophy Honors ’68 Tigers

Technology came to the aid of Detroit Tigers management when they hoped to recapture some of the magic of the 1968 Detroit Tigers’ World Series-winning season. The 50-year anniversary celebration, held September 7-9, 2018, included on-field festivities in which the 16 surviving members of the 1968 team were presented with replicas of the World Series’ trophy.

Laser Scanners Demand Attention as Technology Improves

Metrology-grade laser scanners are expanding their range of applications. New users are finding the main attractions of laser scanners—speed and ease of use. What prevented more widespread use in the past were laser scanners’ perceived tradeoffs. Using one usually meant sacrificing accuracy or working with noisy data.