Researchers introduced a cognitive robotic system in CIRP Journal of Manufacturing Science and Technology that automates tasks in brownfield production without extensive modifications to existing machinery. The system mimics human operators using a perception system, handling devices, and a skill-based control mechanism, significantly improving setup time and adaptability for SMEs.
Scientists at Umeå University have successfully developed an artificial intelligence-driven, self-driving forest machine that can run a 16-ton machine without human assistance.
Researchers from North Carolina State University developed a method that uses two-dimensional images taken by multiple cameras to improve the mapping of three-dimensional spaces by artificial intelligence (AI) programs.
New Scale Technologies, a leading manufacturer of the smallest micro positioning systems, is manufacturing prototype Viper fiber positioners for the Via Project. Via is a collaboration between Carnegie Observatories, the Center for Astrophysics | Harvard & Smithsonian, and Stanford University.
In a recent study published in Cyborg Bionic Systems, a team of researchers from Southeast University led an innovative research that combines sensing - which involves gathering environmental data - and actuation, or the capacity to move and interact with surroundings.
Researchers from the IBS Center, KAIST, and the Institute for Basic Science collaborated to develop a new analytical tool known as Spectrogram-UMAP-Based Temporal-Link Embedding (SUBTLE), which uses artificial intelligence to learn how to classify and analyze animal behavior based on 3D movement data.
The ETRI research team earned the major prize in the German International Design Competition, which is one of the world’s top three design awards. This demonstrates global acknowledgment of the research team’s technology.
Researchers investigated the energy consumption of the Printing Mantis, a robot designed for 3D concrete printing (3DCP), by developing a novel energy consumption model. Their study revealed that optimizing the robot's kinematic structure and considering actuator efficiency are crucial for reducing energy usage, achieving a prediction accuracy of up to 90.3%, thus paving the way for more efficient 3DCP applications.
Recent research by Northwestern Engineering researchers, and published in Nature Machine Intelligence, unveils a novel artificial intelligence (AI) algorithm tailored for smart robotics.
Researchers at the National Renewable Energy Laboratory (NREL) of the US Department of Energy have effectively used robotic assistance in the production of wind turbine blades to reduce labor-intensive conditions for humans and possibly increase product consistency.
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