Generalizable active mapping in complex unknown environments remains a critical challenge for mobile robots. Existing methods, constrained by insufficient training data and conservative exploration ...
Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...
Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
Physical AI converts terrain, drainage, soil variability and sunlight into structured inputs that can be simulated, ...
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...
In new research that puts the latest models to test in a 3D environment, Cornell scholars found that AI fares well with ...
Anton Glance, co-founder and CTO at Buildroid AI, has more than 10 years of experience in AI, robotics, automation, and ...
Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses ...
A team of Germany-based researchers recently unveiled GlobalBuildingAtlas, which is likely the most detailed 3D map of ...
General-purpose robots remain rare not for a lack of hardware but because we still can’t give machines the physical intuition ...
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