Category: robotics/AI – Page 130
By using sensor-embedded sponges and data, Vienna researchers quickly trained robots to clean washbasins.
Thanks to researchers at TU Wein in Vienna, the promise of housecleaning robots is one step closer. The team has developed a self-learning robot to mimic humans to complete simple tasks like cleaning washbasins.
While this might sound mundane, the development is very significant as hard coding a robot to move a sponge over the complex curved edges of a washbasin would be a monumental task. To this end, the research team found a hack by blending observation with tactile data from human teachers to train robots to copy the same task.
With its unique design consisting of two wheels and gripper arms, evoBOT keeps itself balanced while performing a range of tasks.
EvoBOT, a uniquely shaped autonomous mobile robot, recently completed its first test runs at the Munich Airport.
A study introduces AI2BMD, an artificial intelligence-based dynamics simulation program that uses protein fragmentation with a machine learning force field to accurately and efficiently model the folding and unfolding of large proteins.
Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all.
Part of a groundbreaking effort to harness artificial intelligence (AI) to unlock the mysteries of the cosmos, the U.S. Department of Energy’s (DOE) Argonne National Laboratory is a key collaborator in the newly launched NSF-Simons AI Institute for the Sky (SkAI, pronounced “sky”), led by Northwestern University.
Jointly funded by a $20 million grant from the U.S. National Science Foundation (NSF) and the Simons Foundation, SkAI aims to revolutionize how researchers explore the universe by developing innovative AI technologies capable of handling the vast data generated by astronomical surveys.
The U.S. Department of Energy (DOE) has awarded DOE’s Argonne National Laboratory funding as part of its Artificial Intelligence (AI) for Scientific Research program.
Supported by DOE funding, two projects will drive innovations by improving how data is processed and protected, leading to faster and more secure discoveries.
Artificial general intelligence is a theoretical form of AI that can reason as well as humans. AI researchers debate how close it is to reality.
A research team, led by Professor Hoon Eui Jeong from the Department of Mechanical Engineering at UNIST has introduced an innovative magnetic composite artificial muscle, showcasing an impressive ability to withstand loads comparable to those of automobiles. This material achieves a stiffness enhancement of more than 2,700 times compared to conventional systems. The study is published in Nature Communications.
Soft artificial muscles, which emulate the fluidity of human muscular motion, have emerged as vital technologies in various fields, including robotics, wearable devices, and biomedical applications. Their inherent flexibility allows for smoother operations; however, traditional materials typically exhibit limitations in rigidity, hindering their ability to lift substantial weights and maintain precise control due to unwanted vibrations.
To overcome these challenges, researchers have employed variable rigid materials that can transition between hard and soft states. Yet, the available range for stiffness modulation has remained constrained, along with inadequate mechanical performance.