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…the design element. Scientists at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), aimed to fill the gap by designing “Evolution Gym,” a large-scale testing system for co-optimizing the design and control of soft robots, taking inspiration from nature and evolutionary processes. Simulations soft robots learn on their own The robots in the simulator look a little bit like squishy,…
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…the Massachusetts Institute of Technology (MIT) Industrial Liaison Program (ILP), and last week it announced it has added Aris Kekedjian to its Board of Directors. XPO said it is the first global logistics company to collaborate with the MIT ILP, an organization that matches up what XPO called MIT ILP’s world-class resources with industry-leading corporations to solve global business challenges.…
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…this task quickly becomes intractable. MIT researchers said they have found a way to simplify this process, known as contact-rich manipulation planning. They use an artificial intelligence technique called smoothing. It summarizes many contact events into a smaller number of decisions, to enable even a simple algorithm to quickly identify an effective manipulation plan for the robot. Manipulation planning promises…
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…intralogistics group Mecalux and the MIT Intelligent Logistics Systems (ILS) Lab at the MIT Center for Transportation and Logistics reveals that the warehouses powering today’s global supply chains have entered a new era of intelligence. The research, drawing on responses from over 2,000 supply chain and warehousing professionals across 21 countries, shows that artificial intelligence and machine learning are no…
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…of human behavior. Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) recently created a new algorithm to help a robot find efficient motion plans to ensure physical safety of its human counterpart. In this case, the robot helped put a jacket on a human, which could prove to be a powerful tool in expanding assistance for those with…
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…Manage Inventory New research from MIT proposes lightweight drones that can help track and manage inventory in large-scale environments by allowing passive, long-range radio frequency identification (RFID) scanning. RFID tags have long provided a potential solution to the problem of effective package tracking through digital cataloging. Think of it as a much more sophisticated version of barcode scanning. However, RFID…
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…became a founding member of MIT’s Center for Additive and Digital Advanced Production Technologies (ADAPT)—a consortium focused on scaling new manufacturing technology through research, education, actionable insights and an MIT-based ecosystem that pairs industry and academia. “Additive manufacturing has moved well beyond this worn-out notion that it has to prove its worth—we’ve seen firsthand its maturation over the years and…
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…of household robots. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are using machine learning to cut down on the typical iterative process of task planning that considers all possible actions. PIGINet eliminates task plans that can’t satisfy collision-free requirements, and it reduces planning time by 50% to 80% when trained on only 300 to 500 problems. Typically,…
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…make this vision a reality.” MIT alums make up Venti leadership team Venti was founded in 2018 by a team with strong MIT roots, including Chief Executive Officer Dr. Heidi Wyle, Chief Scientific Officer Dr. Xinxin Du, and MIT electrical engineering and computer science professors Daniela Rus, Director, Computer Science and Artificial Intelligence Laboratory (CSAIL) and MacArthur Fellow, and Saman…
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…any damage to the brain. MIT says teleoperated robot could democratize care The MIT team said it envisions that its robotic system could be installed at smaller hospitals and remotely guided by trained surgeons at larger medical centers. The system includes a medical-grade robotic arm with a magnet attached to its wrist. With a joystick and live imaging, an operator…
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…In the case of the MIT-PITT-RW team, the “scrappy undergrads” were not able to finish the race, but their experience was valuable to the students and autonomous vehicle research. Leading into the event, the University of Pittsburgh team faced challenges including developing software that could handle perception and steering at high speeds, getting funding, and working with partners across the…
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…the Interactive Robotics Group of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and lead author of the paper. This is particularly true in the manufacturing and health care industries. “Whether or not we try to help people build conceptual models of robots, they will build them anyway,” she said. “And those conceptual models could be wrong. This can put…
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…work, which takes place in MIT's Nanophotonics and 3D Nanomanufacturing Laboratory, involves studying common 3D printing approaches that expose a material to light to harden, or cure, it. One such approach, digital light processing (DLP), uses a flash of light from a projector to cure each layer of material being printed. BMF uses a special lens to focus projected light…
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…Mobility Group research laboratory at MIT, where he authored publications related to robotics and AI that have been cited more than 20,000 times. Iagnemma is also an inventor with more than 50 issued or pending patents in robotics and autonomous vehicles. “We are excited to see a skilled technologist and experienced leader like Karl take the helm at Vecna Robotics,…
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…Singapore), Massachusetts Institute of Technology (MIT), and Brown University have developed new approaches that improve the accuracy of a material testing technique by using machine learning. Nano-indentation—the process of poking a sample of a material with a sharp needle-like tip to see how the material responds by deforming—is important in many manufacturing applications, but its poor accuracy in obtaining certain…
From geometry preparation to AI-assisted analysis, integrated CFD workflows…
Software-based GripperAI manages mixed picking through basic geometry
Safety, communication and motion control components enable smooth operation
North America’s largest robotics and automation event winds down
