Abstract: The testing of human-following algorithms for mobile robots in real environments is frequently hindered by many challenges, including high experimental costs, inefficient training processes, ...

After four years of hype, Optimus shows some progress, yet the humanoid struggles to prove it's worth beyond staged demos.

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Abstract: Aiming at the problems of single dataset instruction and inaccurate intention recognition in the practical application of home service robots, a method based on yolov8 target detection and ...