Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Qu, Shuzheng"'
Publikováno v:
IEEE International Symposium on Robotic and Sensors Environments (ROSE) 2021
The flocking motion control is concerned with managing the possible conflicts between local and team objectives of multi-agent systems. The overall control process guides the agents while monitoring the flock-cohesiveness and localization. The underl
Externí odkaz:
http://arxiv.org/abs/2303.10035
Publikováno v:
IEEE International Conference on Robotics and Automation (ICRA) 2021
The flock-guidance problem enjoys a challenging structure where multiple optimization objectives are solved simultaneously. This usually necessitates different control approaches to tackle various objectives, such as guidance, collision avoidance, an
Externí odkaz:
http://arxiv.org/abs/2303.09946
Autor:
Qu, Shuzheng
The flock-guidance problem enjoys a challenging structure where multiple optimization objectives are solved simultaneously. This usually necessitates different control approaches to tackle various objectives, such as guidance, collision avoidance, an
Externí odkaz:
http://hdl.handle.net/10393/43090
Publikováno v:
IEEE Instrumentation & Measurement Magazine, vol. 24, no. 2, pp. 118-126, April 2021
This article elaborates on how machine learning (ML) can leverage the solution of a contemporary problem related to the security of maritime domains. The worldwide ``Illegal, Unreported, and Unregulated'' (IUU) fishing incidents have led to serious e
Externí odkaz:
http://arxiv.org/abs/2108.03169