Emmet Cole

1 month ago | businesswire.com | Emmet Cole

Inbolt and FANUC are launching a manufacturing breakthrough enabling FANUC robots to tackle one of the most complex automation challenges: performing production tasks on continuously moving parts at line speeds. With Inbolt’s AI-powered 3D vision, manufacturers can now automate screw insertion, bolt rundown, glue application and other high-precision tasks on parts moving down the line without costly infrastructure investments or cycle time compromises.

Feb 6, 2025 | shopmetaltech.com | Emmet Cole

Robotic welding systems help companies fill these labor gaps, while simultaneously increasing throughput and productivity, reducing waste, and improving quality. IMAGE Cloos Robotic WeldingBy Emmet Cole, Association for Advancing Automation (A3)Forget “Where’s Waldo?” The question fab shops and metalworking businesses are asking is “Where’s my welder?”Welding robots can help and they are more advanced and easier to deploy than ever before. Welding automation giants and A3 members OTC DAIHEN, Inc.

Jan 9, 2025 | automate.org | Emmet Cole

Technology improvements enable some robots to adapt to changing conditions very quickly — sometimes faster than the blink of a human eye, which typically takes from 100–400 milliseconds to complete. With continuous monitoring, machine learning, and path planning features, real-time adaptation offers significant benefits to end users, from enhanced efficiency and productivity to improved safety and greater flexibility in handling product mixes.

Dec 20, 2024 | automate.org | Emmet Cole

Forget “Where’s Waldo?” The question fab shops and metalworking businesses are asking is “Where’s my welder?” Welding robots can help and they are more advanced and easier to deploy than ever before. Welding automation giants and A3 members OTC DAIHEN, Inc. and Cloos Robotic Welding, Inc. share their insights on some of these advancements. Where’s my Welder?

Sep 24, 2024 | automate.org | Emmet Cole

Moravec’s paradox is one of the most counterintuitive and thought-provoking observations in AI and robotics. Reasoning, it says, requires very little computation, but sensorimotor skills require massive computational resources. The result is that machines find complex problems — such as advanced algebra, for example — a cinch to solve but they struggle with easy problems like walking across a room or handling objects with human-like precision.