Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...
Step inside the world of dark stores and smart logistics that once delivered groceries to homes in just ten minutes, showing ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
Abstract: In this paper, an iterative mixed integer linear programming (MILP) algorithm based on the traditional MILP algorithm is proposed to realize the multi-task assignment of unmanned aerial ...
After years of butting up against an all-white Boston School Committee that refused their demands, Black activists took the ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Abstract: With the development of deep learning technology in autonomous driving, to solve the Safety problems caused by uncertain factors, the safety of the intended functionality (SOTIF) standard ...
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