Toward efficient trajectory planning: the path-velocity decomposition
International Journal of Robotics Research
Decentralized, Adaptive Coverage Control for Networked Robots
International Journal of Robotics Research
Continuous trajectory planning of mobile sensors for informative forecasting
Automatica (Journal of IFAC)
Brief paper: Decentralized adaptive awareness coverage control for multi-agent networks
Automatica (Journal of IFAC)
Motion planning for multitarget surveillance with mobile sensor agents
IEEE Transactions on Robotics
Decentralized Perimeter Surveillance Using a Team of UAVs
IEEE Transactions on Robotics
Automatica (Journal of IFAC)
Hi-index | 22.14 |
In this paper the persistent awareness coverage problem for mobile sensors with awareness loss is considered, where persistent coverage and awareness coverage are addressed simultaneously. The goal is to cover the mission domain periodically with a finite period and guarantee full awareness coverage of a finite set of points of interest. A closed path is designed such that it is possible to develop periodic speed controllers for mobile sensors. When there is no constraint on the period, the least number of mobile sensors that are needed for the persistent awareness coverage task is derived. Given a network of mobile sensors and a finite period, it is shown that the persistent awareness coverage task can be accomplished if there exists a solution to a set of linear inequalities. Finally, if there is no awareness loss, the proposed approach guarantees full awareness coverage of the whole mission domain even if only one sensor is deployed.