There is no better way to resolve a problem than by eliminating it entirely. At least that’s how KTH Parts Industries Inc. (St. Paris, OH) regarded its decision to automate a manual equipment changeover process for its robotic welding cells.
Most of the nearly 400 C-suite manufacturing executives recently surveyed by SME.org and the software firm Plataine on plans for factory digitization expect at least single-digit business growth over the next three years, Plataine’s Ofer Abramsohn said here today, presenting the survey results for the first time at the Smart Manufacturing Experience.
An interview with HOD LIPSON, co-author with Melba Kurman of the book Driverless: Intelligent Cars and the Road Ahead.
In the early days at CNC Software, we saw that our Mastercam CAD/CAM system was only part of a larger manufacturing solution and that an open architecture foundation could allow seamless data communication with complementary devices and systems across the shop floor.
Thermoplastic composites are gaining traction in manufacturing applications, offering benefits like lighter weight, faster production times, longer shelf life and easier shipping compared with metals or other composites.
New systems, software and processes are replacing so-called islands of automation with seamless, automated manufacturing lines that boost overall equipment effectiveness (OEE) from 30 to 80% or more. Like a chess master, these systems think multiple moves ahead on the factory floor to ensure continuing production when circumstances change.
Additive manufacturing (AM), commonly known as 3D printing, is a vibrant and dynamic field. Each year, developments in AM allow organizations to create products that were previously unthinkable.
While cameras and motion control have worked in tandem for at least 15 years, their integration has improved because networks have gotten faster, more reliable, and more deterministic (i.e., nothing will interfere with a function that’s a priority).
A team of researchers from UC Berkeley, led by Pieter Abbeel, is working on the creation of smart robots that are teachable and can learn new skills without pre-programming. Abbeel and his team also formed a startup called Embodied Intelligence with the aim of developing artificial intelligence (AI) software to enable robots to learn from humans to perform complex tasks.
In today’s booming software landscape, you see highly dynamic teams quickly iterating to develop and improve their products. Yet while the world’s software creators have learned to “move fast and break things,” hardware developers are still (slowly) moving to adopt a more agile product development methodology.
