Abstract: In complex real-world environments, unmanned systems often struggle to achieve coordinated control through independent autonomous algorithms and traditional manual operations. Human-machine ...

A machine learning framework, equipped with a unitary Koopman structure, is designed to reconstruct Hamiltonian systems using either noise-perturbed or partially observational data. This framework can ...

Abstract: In order to enhance the efficiency of dynamics modeling of modular space manipulator, a kind of efficient modeling method based on Space Operator Algebra is proposed in this paper. The ...

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...