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Soft robot developed to navigate complex obstacles

Control Engineering

Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a “brainless” soft robot that can navigate more complex and dynamic environments. “In As with the earlier version , the new soft robots are made of ribbon-like liquid crystal elastomers.

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Tiny, shape-shifting robot can squish itself into tight spaces

Control Engineering

Robotics insights Engineers at CU Boulder have designed a miniature robot that weighs less than a ping-pong ball and can fit in a human’s hand. Right now, the machine has four legs, but its modular design could allow the team to build a spider-like robot with eight legs. Rady Department of Mechanical Engineering.

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Generative AI technique helps robots pack objects into a tight space

Control Engineering

Generative AI insights MIT researchers use generative AI, diffusion models, to efficiently solve complex packing problems for robots, enabling applications in diverse environments. Robots struggle with dense packing tasks, too.

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Video: AI-enabled item-picking robot speeds fulfillment, is easy to integrate

Control Engineering

Learning Objectives Understand the advantages of an integrated robot, artificial intelligence and machine vision package to better enable robotic item picking. See robot integration with flexible motion platforms and how it might be used in applications. See related video. Courtesy: Mark T.

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Machine-learning method developed to make controlling robots easier

Control Engineering

Robotics insights Researchers have developed a machine-learning approach to make controlling a robot or autonomous vehicle more efficient and effective in dynamic environments. This could help robots and autonomous vehicles’ use be more widespread in environments where there are a lot of people or in tight quarters.

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CNC, robots, industrial training help Freedman Seating

Control Engineering

Learning Objectives Learn applications of CNC, robotic welding and metal-forming processes at the Freedman Seating Co. See examples of manufacturing training at Jane Addams Resource Corp. Automated manufacturing insights Applications of CNC, robotic welding and metal-forming processes were described during a Freedman Seating Co.

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Four things to look for in a robotic integration partner

Control Engineering

Learning Objectives As supply chains are disrupted, baby boomers age out and the need for general use products continues to grow, manufacturers are faced with producing more with less. Robust yet intuitive robot capability is effectively addressing these issues, boosting manufacturing output and product quality for optimal productivity gains.