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Helping assembly-line robots pick up objects

Control Engineering

At the beginning of the COVID-19 pandemic, car manufacturing companies such as Ford quickly shifted their production focus from automobiles to masks and ventilators. To make this switch possible, these companies relied on people working on an assembly line. Two of these were the wedge and a pyramid shape with a curved keyhole.

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Four manufacturing applications that benefit from under-rider AMRs

Control Engineering

AMR insights Autonomous mobile robots (AMRs) can play a key role in manufacturing because of their name: They’re autonomous and do not require constant human intervention the way an automated guided vehicle (AGV) would. Some AMRs can that meet these requirements, with capacity to handle payloads up to 1,000 kg and 360-deg obstacle detection.

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Five robot trends for 2023

Control Engineering

The adoption of robotics helps to lower energy consumption in manufacturing. Compared to traditional assembly lines, considerable energy savings can be achieved through reduced heating. At the same time, robots work at high speed, increasing production rates so that manufacturing becomes more time- and energy-efficient.

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Robot workers can help humans in manufacturing jobs

Control Engineering

The research, part of NSF’s Future of Work at the Human-Technology Frontier program, will take a multidisciplinary approach with the help of Professors Bilge Mutlu (computer sciences), Shiyu Zhou (industrial and systems engineering) and Timothy Smeeding (public affairs), and Assistant Professor Lindsay Jacobs (public affairs).

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Robot platform designed to develop range of semiconductor materials

Control Engineering

Previous efforts to automate this process have relied largely on automating the assembly line with one sample per chip moving through the entire data collection process. Conventional materials research requires a researcher to prepare a sample and then go through multiple steps to test each sample using different instruments.

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Manufacturers using digital transformation to future-proof operations

Control Engineering

Capturing manual assembly data Silicon Valley startup Invisible AI helps manufacturers digitally capture data from manual assembly lines to provide valuable insights and drive improvements. You may have 20 or 50 cameras on a line, all communicating with each other, all on the same local network. Watch a demo.

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Cameras give industrial vision-guided robots human-like functions

Control Engineering

Empowering a robot to ‘see’ allows it to precisely and consistently differentiate, pick, sort, move, weld or assemble various parts no matter their complexity. For instance, a multiple-step manual welding task on an automobile assembly line might take ten ‘blind’ robots to perform since each part must be mounted in place before every weld.