A paradigm shift has occurred with cobots. “The breakthrough occurred because of a hyper focus on simplifying integration and improving the cobot operator experience,” Healy adds. “At IMTS 2024, conversations will center around how artificial intelligence, 3D vision systems, and cobots combine to pick a wider variety of parts with an unprecedented reliability.”
Today, machine operators (not robot programmers) can program and staff multiple pieces of equipment, boosting machine utilization numbers and shortening changeover time between parts. With these factors, shops can now run more parts per machine with overnight runs or lights-out manufacturing, boost shop competitiveness, and help company leaders win new business.
“At IMTS 2024, conversations will center around how artificial intelligence and cobots come together to bring new levels of usability and productivity to the shop floor,” adds Healy. “As an example of applications that were challenging to automate in the recent past, we will demonstrate how a UR20e cobot can pick a wider variety of parts with an unprecedented reliability,” Healy says.
This advance occurred through a partnership between UR and Siemens (IMTS Booth #133249) that utilizes Siemens’ deep learning-based vision software, called SIMATIC Robot Pick AI, and Zivid’s M130 3D camera.
As manufacturers embrace automation, they also need to explore the transformative power of generative AI. Google Cloud (Booth #236709) delivers AI and machine learning solutions to unlock untapped potential and drive innovation through data-driven insights and intelligent automation. Google Cloud can help IMTS visitors understand where and how to apply AI to product design, research, production, supply chain, customer service, and other manufacturing processes.
While pallet pools provide capability, advanced machine controls ensure accuracy and consistency during unattended runtime. “The TNC7 control will help end users to feel confident in automating their process,” says Gisbert Ledvon, vice president of marketing at Heidenhain (Booth #339440). “This year at IMTS, we will demonstrate tool quality and tool life monitoring features using the TNC7’s integrated tool table database.”

Heidenhain will also demonstrate the TNC7’s component monitoring and process monitoring capabilities. Component monitoring can detect events such as tool breakage or excess force on the spindle. Process monitoring captures the data for a sample path and compares subsequent paths to this reference; deviations are graphically displayed, so operators can pinpoint the location.
Additive manufacturing (AM) is inherently an automated process, which is especially helpful to large-scale metal additive technologies such as directed energy deposition (DED), which can replace forgings, castings, and tooling. These products typically come from overseas with lead times of six to 18 months, which AM can shorten to a few months or weeks.
Melanie Lang, co-founder and CEO of Formalloy Technologies (Booth #433018), believes the trend of adding AM equipment to move work in-house is growing and will continue. “The last few years opened our eyes to the instabilities in our supply chain,” says Lang. “We can’t take delivery times for granted; the true country of origin for our products remains uncertain; and some sources are subject to geopolitical issues. Fortunately, we can apply technology to solve those problems.”

Siemens (Booth #133249) will present its extensive machine tool CNC portfolio and digitalization software technology, highlighted by the digital native SINUMERIK ONE control platform for machining applications. Also, using a sports theme of “Speed, Agility and Endurance,” aimed at the machine shop on its path to digitalization, Siemens will introduce MACHINUM to the North American market. MACHINUM brings together machine tool controls, digitalization software and machine shop services from Siemens to help manufacturers optimize their production processes, to provide agility for quick adaptation to changing customer requirements and calculated uptime needs, plus enable digitally proven endurance to maximize the productivity of the entire machine shop or production department.
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