Editorial: supervision, control and learning for intelligent robot systems

HIGHLIGHTS

  • who: CITATION et al. from the de Montpellier (LIRMM), France Sapienza University have published the paper: Editorial: Supervision, control and learning for intelligent robot systems, in the Journal: (JOURNAL)
  • what: The aim of this Research Topic is to display recent work surrounding supervision, control and learning robot tasks, blending automatic control and artificial_intelligence approaches. The article presents a cloud-based architecture for social drone missions, algorithms to optimize task performance, and experimental results assessing the performance of the proposed solution. frontiersin.org Lima and Iocchi 10.3389/frobt.2022.1050237
  • how: The authors . . .

     

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